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Meta Platforms, Inc. (Meta), formerly known as Facebook Inc.

Menlo Park, California

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Department of Statistics & Data Science, Carnegie Mellon University

Pittsburgh, Pennsylvania

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TCU

Fort Worth, Texas

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Northwestern University

Evanston, Illinois

Rice University

Houston, Texas

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Coastal Carolina University

Conway, South Carolina

George Washington University

Rockville, Maryland

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc.

Menlo Park, California

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Saint Louis University College for Public Health & Social Justice

St. Louis, Missouri

University of Chicago

Chicago, Illinois

National Chengchi University (NCCU)

TAIPEI, Taiwan

University of Chicago

Chicago, Illinois

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Institute of Statistical Science, Academia Sinica, Taipei, Taiwan

Taipei City, Taiwan

Northwestern University

Chicago, Illinois

Northern California Institute for Research and Education

San Francisco, California

James Madison University

Harrisonburg, Virginia

Beaumont Health

Royal Oak, Michigan

University of Rhode Island

Kingston, Rhode Island

StataCorp LLC

College Station, Texas

Weill Cornell Medicine

New York, New York

Department of Statistics, University of Georgia

Athens, Georgia

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Miami University

Oxford, Ohio

University of Glasgow

Glasgow, United Kingdom

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Post-doctoral Fellowship for Interdisciplinary Research in Radiation Epidemiology and Biostatistics
The Radiation Epidemiology (REB) and Biostatistics Branches (BB) of the Division of Cancer Epidemiology and Genetics at the National Cancer Institute/National Institutes of Health/Department of Health and Human Services seek qualified applicants for post-doctoral fellowships for interdisciplinary research on statistical issues in studying the role of radiation in cancer etiology.  The Division of Cancer Epidemiology and Genetics (DCEG) of the National Cancer Institute conducts a national and international program of population- and family-based studies to elucidate the environmental and genetic determinants of cancer. REB conducts research to identify, understand, and quantify the risks of cancer in populations exposed to medical occupational, or environmental radiations, and to advance


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