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QUOTES o “Science is a beautiful gift to humanity; we should not distort it. A.

P. J. Abdul Kalam o “Science is organized knowledge. Wisdom is organized life.”

Immanuel Kant o “The art and science of asking questions is the source of all

knowledge.” Thomas Berger o “Bad times have a scientific value. These are occasions a good

learner would not miss.” Ralph Waldo Emerson

Biostatistics and Bioinformatics

Biostatistics and Bioinformatics Department

Inside This Issue

1 QUOTES 2 UPCOMING DEPARTMENT MEETINGS 3 NEW PUBLICATIONS 4 INTERESTING READS 5 NIH NEWS 6 WORKSHOPS 7 OPENINGS 8 CARTOONS

Oct 5th, 2018

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UPCOMING DEPARTMENT MEETINGS o October Department Meeting, RAR, 12-1.

NEW PUBLICATIONS

• Kelley ME, Dunlop BW, Nemeroff CB, Lori A, Carrillo-Roa T, Binder EB, Kutner MH, Aponte Rivera V, Craighead WE, and Mayberg HS. (2018) “Response rate profiles for major depressive disorder: Characterizing early response and longitunial nonresponse” Depression and Anxiety. http://dx.doi.org/10.1002/da.22832

INTERESTING READS (good things to “Read, read, read”!)

o What is White Nose Syndrome: (Related to coolest job ad of the week below) o https://www.nps.gov/articles/what-is-white-nose-syndrome.htm

NIH NEWS

o Prepare To Include All Ages in Human Subjects Research o NIH's policy on inclusion across the lifespan kicks in for applications due on or after January 25, 2019, and for proposals in response to

research and development contract solicitations issued on or after that date. o Check Out NIH Data on Underrepresented Populations

o An inflection point for improving funding outcomes for underrepresented populations may exist in increasing overall award counts for new and early-stage investigators.

o NIH Policies on Overlap Apply to Foreign Work o Before NIAID will award you a grant, you must disclose all key personnel’s other projects and funding, including foreign projects and funding,

so we can verify there is no scientific, commitment, or budgetary overlap. o NIH Q&A:

o “As a new investigator, should I always ask for the smallest grant type?” o “If NIAID doesn't fund my application, might another NIH institute fund it?”

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WORKSHOPS o This is a reminder that the workshop "The Nexus of Climate Data, Insurance, and Adaptive Capacity" is coming up, November 8-9, 2018

in Asheville, North Carolina. Full details and a registration page are atcees.wfu.edu/nexus/. o This workshop came out of the SAMSI climate program and will be an excellent opportunity to learn and participate in discussions

about the importance of staistics and climate science for the insurance industry. A block of rooms has been reserved for $129/night at the Hyatt Place Downtown Asheville (ashevilledowntown.place.hyatt.com/en/hotel/... - G-TCOL is the code for the discount) but this expires on October 7 so please register quickly if you are planning to come.

o Announcing a new multi-day Course Sequence for 2019: o Introduction to Bayesian Disease Mapping (IBDM) o Bayesian Disease Mapping with INLA (BDMI) o Advanced Bayesian Disease Mapping (ABDM) o **Offering of Introductory and Advanced BDM courses and BDM with INLA in o MUSC, Charleston, SC, USA** o Historic Charleston, South Carolina o *Course content*

§ These courses are designed to provide a comprehensive introduction to the area of Bayesian disease mapping in applications to Public Health and Epidemiology: The IBDM course will run on March 11th - 12th, the BDMI course will run on March 13th and the ABDM course will run on March 14th - 15th 2019.

§ The BDMI course provides a hands-on introduction to spatial health modeling with INLA, while more advanced INLA examples are included in the ABDM course.

§ Both spatial and spatio-temporal analyses using WinBUGS, INLA, CARBayes and Nimble will be considered. § Examples will range over childhood asthma data from Georgia, influenza in South Carolina, foot-and-mouth disease in the UK

and Ohio respiratory cancer. o *The speaker*

§ Professor Andrew B. Lawson (Department of Public Health Sciences, College of Medicine, Medical University of South Carolina) is a World Health Organization (WHO) advisor on Disease Mapping and organized with the WHO an International workshop on this topic which has led to an edited volume “Disease Mapping and Risk Assessment for Public Health”. He has published a number of books focused on disease mapping and spatial epidemiology. Most recently he was chief editor of the CRC Press Handbook of Spatial Epidemiology (2016). The 3rd Edition of the volume *Bayesian Disease Mapping* will be a course text for the IBDM course, and is included in the IBDM course fee.

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o *REGISTRATION INFORMATION* § Detailed information and registration form is available from http://academicdepartments.musc.edu/phs/docs/march2019.pdf § Phone registration to:

• Department of Public Health Sciences • (843) 876-1578

§ Fax registration form to: • Department of Public Health Sciences • (843) 792-6000

§ Booking Enquiries can be made by E-mail to June Watson at watsonju@musc.edu OPENINGS

• The Department of Statistics (www.stat.uci.edu) in the Donald Bren School of Information and Computer Sciences (ICS) at the University of California, Irvine (UCI) invites applications for multiple tenure-track or tenured faculty positions at the assistant or open-rank levels beginning July 1, 2019. Two positions are at the assistant professor level and two positions are open rank.

o The Department of Statistics has a strong interdisciplinary flavor, focused on developing state-of-the -art methods for solving topical data-driven problems in science and engineering, and advancing the statistical theory that underlies those methods. We are searching for faculty with strong research potential, a commitment to excellence in teaching, and enthusiasm for helping our collegial department continue to grow. Applicants should hold a Ph.D. degree (or expected by fall 2019) in statistics, biostatistics or a related field. Candidates with research interests in all areas of statistics will be considered.

o The University of California, Irvine is part of the premier public university system in the world. UCI is a member of the Association of American Universities (AAU), is ranked as a top ten public university by U.S. News and World Report, and was identified by the New York Times as No. 1 among U.S. universities that do the most for low-income students. UCI is located in Orange County, 4 miles from the Pacific Ocean, 45 miles south of Los Angeles, and 80 miles north of San Diego. Irvine is one of the safest communities in the U.S. and offers a very pleasant year-round climate, numerous recreational and cultural opportunities, and one of the highest-ranked public school systems in the nation. All positions would be eligible to participate in UCI's faculty housing program.

o Completed applications containing a cover letter, curriculum vita, graduate transcripts (for assistant professor candidates), statements on diversity, teaching, and research, three letters of recommendation, and sample research publications should be uploaded electronically. Please refer to the following web site for instructions recruit.ap.uci.edu/JPF04670. Applications received by November 1, 2018 will receive the fullest consideration.

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o The University of California, Irvine is an Equal Opportunity/Affirmative Action Employer advancing inclusive excellence. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected categories covered by the UC nondiscrimination policy. A recipient of an NSF ADVANCE award for gender equity, UCI is responsive to the needs of dual career couples, supports work-life balance through an array of family-friendly policies, and is dedicated to broadening participation in higher education.

o • The Vaccine and Infectious Disease Division and Public Health Sciences Division at the Fred Hutchinson Cancer Research Center (Fred

Hutch) jointly invite applications from exceptional candidates to apply for a full- time faculty appointment at the assistant or associate member level (equivalent to assistant/associate professor at a university) to conduct collaborative clinical trial research in prevention of HIV, cancer and/or other infectious diseases. The successful candidate will build an independent research program in methodological and applied biostatistics. Opportunities exist for joint and/or affiliate appointments in the Fred Hutch Divisions of Clinical Research, Human Biology and Basic Sciences, as well as the University of Washington, depending on mutual interest.

o The successful candidate will establish a dynamic research program consisting of independent projects and collaborative studies that are pertinent to our mission to prevent HIV, cancer and/or other infectious diseases. We seek candidates with outstanding methodological, analytic and communication skills whose objective is to innovate and become leaders within the field.

o Candidates must hold a PhD or equivalent degree in biostatistics, statistics, or a related area. Experience in clinical trials is preferred, especially experience in infectious disease or cancer prevention trials. The successful candidate will have demonstrated the ability to work in a highly collaborative environment with biostatistical, clinical and laboratory scientists.

o The Fred Hutch offers a vibrant intellectual environment within a beautiful lakeside campus in Seattle's South Lake Union biotech hub. The Fred Hutch campus contains five major research buildings along with the Seattle Cancer Care Alliance and is in close proximity to major research partners such as the University of Washington School of Medicine and School of Public Health, Seattle Children's Research Institute and the Center for Infectious Disease Research.

o Interested candidates should submit a CV, a concise research plan statement, a diversity, inclusion, and mentoring statement, and the names and contact information for three (3) references to apply.interfolio.com/53076.

o Applications should be received by October 31, 2018 to assure consideration. Later applications will be considered if the position has not been filled.

§ Fred Hutchinson Cancer Research Center is committed to cultivating a workplace in which diverse perspectives and experiences are welcomed and respected. We are proud to be an Equal Opportunity and VEVRAA Employer. We do not discriminate on the basis of race, color, religion, creed, ancestry, national origin, sex, age, disability, marital or veteran status, sexual orientation, gender identity, political ideology, or membership in any other legally protected class. We are an Affirmative Action employer. We encourage individuals with diverse backgrounds to apply and desire priority referrals of protected veterans. If due to a disability you need assistance/and or a reasonable accommodation during the application or recruiting process, please send a request to our Employee Services Center at escmail@fredhutch.org or by calling 206-667-4700.

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• Basic Information Position Title: Teaching-track Professor – Fall 2019 Location: Pittsburgh, PA Position Type: Faculty Position URL: apply.interfolio.com/52297

o Position Description: Applications are invited for the position(s) of Teaching Professor, rank (Assistant, Associate, or Full) to be determined. The Department of Statistics & Data Science at Carnegie Mellon University (www.stat.cmu.edu) is seeking candidates with a passion for Statistics and a desire to make a significant impact on both the Department's research and educational missions. We are looking for a candidate who will develop into a creative and effective teacher to contribute to our thriving, modern undergraduate and graduate programs. A successful candidate will be expected to have strong teaching skills, to demonstrate a thoughtful approach to statistical pedagogy, and to engage deeply in the field of Statistics through research or other means. We welcome applicants from all areas of statistics. The Department of Statistics & Data Science at Carnegie Mellon University is world-renowned for its contributions to research on statistical theory, methods, and collaborative applied research. Current collaborative research by our faculty is helping to make fundamental advances in neuroscience, cosmology, networks, finance, genetics, public policy, high-dimensional inference, and theory and methods at the intersection of statistics and machine learning. We are also widely recognized for advancing the teaching of Statistics and for the excellence of our undergraduate program, with a large number of undergraduate majors and popular joint undergrad programs in statistics and economics, and statistics and machine learning. We also have two successful Master's programs and a thriving Ph.D. program that attracts outstanding students from around the world.

o Our faculty members are recognized internationally for their expertise and have garnered many prestigious awards and honors. (For example, two current members of the faculty have been awarded the COPSS medal, the highest honor given by professional statistical societies.) At the same time, the faculty is firmly dedicated to undergraduate education. The entire faculty, junior and senior, teach courses at all levels. The faculty are accessible and are committed to involving undergraduates in research. The Department augments all these strengths with a friendly, energetic working environment and exceptional computing resources.

o Duties and Responsibilities: Teaching faculty positions at Carnegie Mellon are unusual in the high level of both flexibility and career advancement they offer. This position emphasizes the Department's educational mission (teaching, student advising, curriculum development, and supervising collaborative research projects) but also involves research and/or administrative activities. Teaching load is typically two classes per semester, but varies depending on the faculty member's role in advising and curriculum design. Faculty are also encouraged to engage in research or other activities that contribute to the field or to society at large. This is a faculty position with a long-term career trajectory and substantial opportunities for professional development.

o Carnegie Mellon University is an equal opportunity employer and is committed to increasing the diversity of its community on a range of intellectual and cultural dimensions. Carnegie Mellon welcomes faculty applicants who will contribute to this diversity through their research, teaching and service, including women, members of minority groups, protected veterans, individuals with disabilities, and others who would contribute in different ways.

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o Qualifications o Ph.D. in statistics, biostatistics, machine learning or related area required.

Application Instructions o Apply apply.interfolio.com/52297

§ Applicants for this position should submit: cover letter, curriculum vitae, statement of teaching, statement of research, transcripts, and names and email addresses of 3-5 individuals who have been asked to provide letters of reference. Contact email: hiring@stat.cmu.edu.

§ Application period is July 16 – October 19, 2018. § The Interfolio Scholar Services Team is available to help if you have questions about submitting required documents. You can

email them anytime at help@interfolio.com or call them at 877.997.8807 - Monday - Friday 9am - 6pm Eastern time.

• Assistant Professor of Biostatistics/Data Science o The School of Public Health at the University of California at Berkeley invites applications for a tenure track Assistant Professor of

Biostatistics in the division of Epidemiology & Biostatistics with an expected start date of July 1, 2019. Candidates must possess training and experience in biostatistics and/or statistics, with the potential for pathbreaking research advancing population health. The successful candidate will contribute to the School’s strategic initiative in precision public health as well as the campus data science initiative. In addition, the School of Public Health seeks candidates whose research, teaching, or service has prepared them to contribute to our commitment to diversity and inclusion in higher education.

o https://aprecruit.berkeley.edu/apply/JPF0186 o

• The Department of Mathematics at the University of Nebraska – Omaha (UNO) invites applications for a full-time tenure-track assistant-professor position beginning August 2019. Applicants must have a Ph.D. (or be ABD) in operations research or a closely related field.

o Operations research, along with statistics and data science, compose the rapidly-growing Data Sciences program within the UNO Mathematics Department. Faculty enjoy interdisciplinary collaborations with colleagues across UNO and the University of Nebraska system. Mathematics students can choose a concentration in any of these three areas at both the undergraduate and master's levels. The successful candidate will work closely with faculty and students in the Data Sciences group, teach undergraduate and graduate courses in operations research, supervise graduate students, collaborate with local industry, and maintain an active research program. The university and department have a strong commitment to achieving diversity among faculty and staff. We are particularly interested in receiving applications from members of under-represented groups and strongly encourage women and persons of color to apply for this position.

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o APPLICATION § Submit applications online at unomaha.peopleadmin.com/user/new. Include the following: (1) a letter of interest; (2) current

curriculum vitae; (3) statement of teaching philosophy; and (4) statement of research interests. Additionally, three letters of recommendation should be sent directly to Dr. Betty Love, Department of Mathematics, University of Nebraska – Omaha, 6001 Dodge Street, Omaha, NE 68182.

§ UNO Data Sciences faculty will be available to meet with prospective applicants at the INFORMS Annual Meeting in Phoenix. To express interest in meeting, please contact Dr. Betty Love atblove@unomaha.edu. Questions regarding the position may be addressed to Dr. Love or Mathematics Department chair Dr. Jim Rogers, (jrogers@unomaha.edu).

§ Review of applications will begin on October 29, 2018 and will continue until the position is filled. A background check will be required for employment in this position.

o About Omaha, NE § The Omaha metropolitan area is home to over 900,000 people and several Fortune 500 companies including Berkshire

Hathaway, Union Pacific Railroad, and Mutual of Omaha. In 2017 Time Magazine rated Omaha as the #3 Most Up-and-Coming City in America. The cost of living is 8.2% below the national average and median home prices are 30% less than the national average. One-way average commute time is 20.1 minutes. Eppley Airfield offers 130 daily departures with non-stop service to 28 airports.

o The University of Nebraska does not discriminate based on race, color, ethnicity, national origin, sex, pregnancy, sexual orientation, gender identity, religion, disability, age, genetic information, veteran status, marital status, and/or political affiliation in its programs, activities, or employment. UNO is a VEVRAA Federal Contractor and an E-Verify employer.

o Position and organization § The Centers for Disease Control and Prevention's (CDC) National Center for Health Statistics (NCHS), Collaborating Center

for Statistical Research and Survey Design (CCSRSD) in the Division of Research and Methodology (DRM), located in Hyattsville, Maryland, is seeking a mathematical statistician. As the nation's principal health statistics agency, NCHS' mission is to provide statistical information to guide actions and policies to improve the health of the American people.

§ CCSRSD contains the largest group of mathematical and research statisticians at NCHS. CCSRSD conducts statistical methodological research and collaborates with various programs within and outside of NCHS to support data-related research activities. Recent methodological work by CCSRSD includes the study and sampling design of CDC and NCHS surveys, methods for modeling and analyzing vital statistics and survey data, small-area estimation and spatial modeling, combining information from multiple data sources, data disclosure limitation and protection of confidentiality, missing data and imputation, and statistical genetics. The applied work spans a wide variety of topic areas such as disease epidemiology, health outcomes and services research, and survey methodology. Research products include scientific journal papers and government reports. Staff members are encouraged to attend conferences and workshops to present their research findings and for professional training.

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§ Position overview • The Mathematical Statistician will perform statistical, methodological, and collaborative research on a variety of issues

and problems relating to survey and study design, modeling, data analysis, and statistical inference. In addition, the incumbent will function as a consultant and advisor on survey and study design and statistical analysis to other NCHS divisions and offices as well as external organizations. The work requires knowledge of statistical theory and concepts, experience in applied statistics, and a solid statistical computing and software background. Consulting and other collaborative experience is highly desirable.

§ Qualifications • The positions are open to all citizens of the United States or legal permanent residents with a work authorization.

(Applicants are responsible for obtaining the necessary work authorization.) Applicants must have successfully completed a master's degree in statistics, biostatistics, or a related field (e.g., mathematics or science). Experience and coursework in statistics is essential, as is experience collaborating on statistical applications; statistical computing and software for statistical analysis; and conducting research in theoretical statistics, modeling and small-area estimation, novel sample and study design, analysis of data from complex surveys, statistical disclosure limitation and confidentiality, missing data, or other current or emerging statistical areas.

§ Terms of appointment • The successful candidate will be offered an initial 24-month appointment, which may be extended. A starting date will

be determined by mutual agreement. An initial salary range of $56,233–$126,062 will be offered, based on education and experience. Salary increases will be commensurate with performance. Federal benefits such as annual and sick leave, Thrift Savings 401(k)-equivalent, and health and life insurance apply. A flexible work schedule or telework may be offered at the discretion of the division. NCHS is in Washington DC metropolitan area. Free onsite parking or a public transportation subsidy is available. The local subway station is within walking distance, and a free shuttle is available to and from the station.

§ Application process • Review of applications will begin on October 15, 2018 and will continue until the positions are filled. Interested

applicants should submit a cover letter, their curriculum vitae, a copy of official transcripts of all graduate and undergraduate credits, and contact information for two references to Yulei He at the mailing address below. Inquiries or questions regarding this fellowship can be directed to YuleiHe@cdc.gov or 301–458–4533.

§ Mailing address • Yulei He, Ph.D. Chief, Collaborating Center for Statistical Research and Survey Design Division of Research and

Methodology National Center for Health Statistics Centers for Disease Control and Prevention 3311 Toledo Road, Room 4641 Hyattsville, MD 20782

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o POSITION DESCRIPTION: The Department of Mathematical Sciences at The University of Texas at El Paso (UTEP) is seeking a data scientist with expertise in statistical modeling for big data and/or high performance data analytics, for a tenure-track position at the Assistant Professor level. Successful candidates are expected to develop productive research programs and will be required to mentor and teach at both the undergraduate and graduate levels, and to direct Ph.D. dissertations in data science. Anticipated appointment date is fall 2019.

§ ABOUT THE DEPARTMENT: The Department of Mathematical Sciences is a highly productive department at UTEP and contributes to interdisciplinary programs across the university, including the Computational Science Program. Over the past few years its faculty members have published numerous peer reviewed manuscripts and helped secure millions of dollars in grants. Existing faculty expertise includes algebra and combinatorics, fixed point theory, statistics, bioinformatics, computational science, topology and applied mathematics. In the last six years, UTEP has been ranked in the top ten by Diverse: Issues in Higher Education for Mathematics and Statistics degrees conferred to Hispanic students both at the undergraduate and master’s levels. More information is available at the Department of Mathematical Sciences website: (http://math.utep.edu/).

§ ABOUT UTEP AND EL PASO: Located on the culturally vibrant U.S.-Mexico border, UTEP was founded in 1914 as the Texas School of Mines and Metallurgy, and has grown into a dynamic urban university with more than 25,000 students enrolled in 74 baccalaureate, 76 master's, and 22 doctoral programs. UTEP is nationally recognized for its leadership role in changing the face of U.S. higher education. Its student body, which is approximately 80% Hispanic, mirrors the population of the Paso del Norte region. As Texas and the United States become increasingly diverse, UTEP is positioned to play a critical role in ensuring that talented students of all backgrounds have the opportunity to realize their potential.

§ The University has a rapidly growing research enterprise in the sciences, engineering, health fields, and other areas, with research expenditures exceeding $95 million per year. UTEP is a member of the University of Texas System and ranks first nationally in the number of Hispanic graduates in Business Administration, Mathematics and Statistics, and Education, and third among all U.S. colleges and universities in the total number of bachelor's degrees awarded to Hispanics in all academic disciplines. UTEP remains committed to advancing higher education in the region and partners with the El Paso Community College to push toward the state's goal that 60 percent of Texans aged 25-34 earn a degree or certificate by the year 2030 (http://www.60x30tx.com/). El Paso is a highly livable, bicultural community of almost 700,000 people, which offers affordable homes and attractive neighborhoods. Shielded by mountains on three sides, El Paso experiences more than 300 days of sunshine annually, and residents enjoy outdoor activities year-round. The city of El Paso is adjacent to both the state of New Mexico and the country of Mexico, making it a leading area for cultural diversity and border health research. El Paso is the sixth largest city in Texas and 19th largest city in the United States. Its active arts and culture community features the state’s longest running symphony orchestra, a nationally recognized chamber music festival, art galleries, history museums, and a full schedule of seasonal festivals and events. UTEP adds to the arts scene with an award-winning dinner theater, music and dance productions, contemporary and student art galleries, and a natural history museum. For sports fans, the UTEP Miners offer exciting Division I college athletics at Sun Bowl Stadium, the Don Haskins Center and Kidd Field. Southwest University Park located in El Paso’s lively downtown is home to the El Paso Chihuahuas, the San Diego Padres AAA baseball affiliate. In 2010 and 2018, El Paso received an All-America City Award. El Paso is consistently ranked as one of the safest large cities in the U.S.

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§ REQUIRED QUALIFICATIONS: Applicants must have a Ph.D. in a data science related area, a strong record of research accomplishments, and the capacity to secure extramural funding. Postdoctoral experience will be given preference.

§ APPLICATION PROCEDURE: Review of applications will begin immediately, and applications will be accepted until the position is filled. Candidates must submit: 1) letter of interest, 2) curriculum vitae, 3) statement of research interests, 4) brief outline of teaching philosophy, 5) copies of up to three relevant authored or co-authored publications, and 6) complete contact information for at least three references. To apply, please visit UTEP's Human Resources page for this position .

• Hiring decisions are based upon budget approval. • In keeping with its Access and Excellence mission, the University of Texas at El Paso is committed to an open,

diverse, and inclusive learning and working environment that honors the talents, respects the differences, and nurtures the growth and development of all.

• The University of Texas at El Paso is an Equal Opportunity/Affirmative Action employer. The University does not discriminate on the basis of race, color, national origin, sex, religion, age, disability, genetic information, veteran status, sexual orientation or gender identity in employment or the provision of services

• o The Department of Mathematics and Statistics at Elon University seeks applicants for a Tenure Track position in Statistics to begin

mid-August 2019. The successful candidate should have a PhD in statistics, statistics education, or related field. Candidates with experience using statistical computing software in the classroom are encouraged to apply.

§ Faculty members will typically teach six four-credit courses per year, with occasional coursereassignment opportunities available. Teaching will primarily include courses in the statistics major, Statistics in Application (with SAS), Introduction to Statistical Reasoning, and courses in Elon's Core Curriculum program. Candidates should demonstrate the potential for excellence in engaging students through teaching and mentoring. Candidates should also demonstrate a record of, or potential for, a program of high quality scholarly activity, service, and professional development. Candidates who have experience working with a diverse range of people and who can contribute to the climate of inclusivity are encouraged to identify their experiences in their cover letter. Elon is a dynamic private, co-educational, comprehensive institution that is a national model for actively engaging faculty and students in teaching and learning in a liberal arts based residential campus. To learn more about Elon, please visit the University web site at http://www.elon.edu

§ For more information about the department and its' curriculum, visit the department's website at: www.elon.edu/e-web/academics/elon_college/....

§ Review of complete applications will begin immediately, but for full consideration, completed applications should be received by November 10, 2018. Email letter of application, CV, undergraduate and graduate transcripts, statement of teaching philosophy, research statement, and three letters of recommendation (letters must be e-mailed directly from each reference with your name in the subject line) to the Mathematics and Statistics Search Committee Chair, at elonstats2018@elon.edu. Elon University is an equal opportunity employer committed to a diverse faculty, staff and student body and welcomes all applicants.

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• Applications are invited for a post-doctoral research position (Assegno di Ricerca tipo A1, Junior) in Statistics SECS-S/01 at University of Milano-Bicocca (https://www.unimib.it) Department of Sociology & Social Research, under the supervision of Fulvia Mecatti

o TITLE: Efficient Sampling Strategies for modern applications o AIMS: Development of innovative and effective sampling strategies (design & estimation) including Multiple Frame and

Mixed-Mode Surveys, Biomedical Observational Studies and the use of auxiliary info from registers, (big) data-bases and (big) data-streams.

o CONTRACT: 24 months (renewable for a further 24 months upon approval) starting April 1, 2019. Salary competitive with European Research Universities and Italian Assistant Professor position (RTD-A).

o APPLICATION: Candidates must posses a Ph.D. in Statistics or related fields, either earned within 4 years or to be completed within February 2019. Applications should be submitted online, deadline November 6, 2019 h 12:00 (CET)

o Details for submitting a complete application and about the selection procedure are published at pica.cineca.it/unimib/bando-assegno-di-ricerca-a1-2018

o CONTACTS: fulvia.mecatti@unimib.it • Do you want a teaching-focused position with ample protected time to make curricular innovations and for your own scholarly

work? In statistical science at Duke, we have Professor of the Practice positions at all ranks, with a teaching load of 3 1/3 per academic year in a dynamic and collegial scholarly setting (and with great weather, relatively low cost of living, and highly competitive salary structure).

o Details are available at Duke Professor of the Practice. Screening of applications will begin 8 October, but the position will remain open until filled. Applicants from all areas of statistics and statistical data science are encouraged to apply.

• And the coolest advertisement of the week: The Colorado Cooperative Fish and Wildlife Research Unit at Colorado State University seeks an outstanding early career scientist to evaluate bat monitoring efforts based on the North American Bat Monitoring Program.

o The postdoc will develop status and trends population models integrating existing acoustic data from legacy mobile transects with data collected following NABat acoustic monitoring protocols and environmental covariates that account for large-scale system changes. These models will be used to generate maps of species distributions and evaluate changes in activity of bat species in White-Nose Syndrome (WNS)-free regions. The outcome of this work will be to establish baseline information regionally that will help us to better understand the impacts of WNS and inform monitoring strategies forWNS.

o To apply and view a full position announcement please visit: jobs.colostate.edu/postings/60640 by October 28th, 2018, 11:59 pm (MT) for full consideration.

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CARTOONS

CARTOONS SOURCES:

• https://qph.fs.quoracdn.net/main-qimg-6ba313bde98bbf6e7dd8f9f2924cf273-c • http://flashmedia.glynn.k12.ga.us/webpages/lhorton/photos/24866/3calccartoon.gif • http://www.clayton.edu/portals/164/calculus.jpg • https://cdn.andertoons.com/img/toons/cartoon5808.png • https://imgs.xkcd.com/comics/machine_learning.png • https://www.datamation.com/imagesvr_ce/999/geek-spoilsports.jpg

• https://i.pinimg.com/originals/a7/4b/42/a74b42316cab5b8fadb63b2a263c0ddf.jpg