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The George Washington University Biostatistics Center Logo
The George Washington University Biostatistics Center

Rockville, Maryland

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The George Washington University Biostatistics Center Logo
The George Washington University Biostatistics Center

Rockville, Maryland

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Hunter College (CUNY)

New York City, New York

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Vienna University of Business and Economics

Vienna, Austria

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University of California, Berkeley, Statistics Department

Berkeley, California

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National Taiwan University--Institute of Statistics and Data Science

Taipei, Taiwan

Dimensional Funds Advisors LP

Austin, Texas

Drexel University

Philadelphia, Pennsylvania

Dana-Farber Cancer Institute

Boston, Massachusetts

Indiana University Department of Statistics

Bloomington, Indiana

Henry M Jackson Foundation for the Advancement of Military Medicine

Nationwide

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South Dakota State University

Brookings, South Dakota

Ally Financial, Inc.

Wilmington, Delaware

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ITAM

Mexico City, Mexico

Reed College

Portland, Oregon

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University of New Mexico

Albuquerque, New Mexico

Rutgers Cancer Institute of New Jersey and Rutgers School of Public Health

New Brunswick, New Jersey

University of Florida

Gainesville, Florida

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Georgetown University McDonough School of Business

Washington, D.C.

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Henry Ford Health

Detroit, Michigan

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Faculty Positions at KAUST: Statistical Data Science
Applications should be submitted in interfolio link https://apply.interfolio.com/112041 The current challenges that confront the statistical data sciences deal with the need to efficiently process massive data, build powerful statistical models and develop efficient computational tools. There are opportunities to develop impactful research that can address substantive inferential and forecasting problems on a wide array of complex processes including biological, social, physical, epidemiological, climatological, and environmental. The Statistics Program (http://stat.kaust.edu.sa) at KAUST aims to contribute to statistical data scien


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