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Posting Details Position Information Job Title Mathematics and Statistics Postdoctoral Fellow Pool Posting Number P0543F Position Summary Information Job Description Summary The Department
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Details Title Postdoctoral Fellow for Statistical Methods at the Intersection of Randomized Trials and Observational Studies School Harvard T.H. Chan School of Public Health Department/Area
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Details Title Postdoctoral Fellow for Statistical Methods in EHR-Based Studies School Harvard T.H. Chan School of Public Health Department/Area Position Description This is a postdoctoral position
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Details Title Postdoctoral Fellow in Statistics School Faculty of Arts and Sciences Department/Area Statistics Position Description The Department of Statistics invites applications for a
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datasets, and the EHR-linked Vanderbilt Biobank (BioVU). He/she will work in a team environment. He/she will apply existing genetics, statistics and bioinformatics tool. A primary role will be contributing
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to support research on how climate change and demographic change are reshaping prospects for sociopolitical stability, conflict, and violence in Africa. Successful candidates will have strong statistical and
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successful candidate, you will: Be proficient in sterile tissue culture. Be proficient in biochemical assays including qPCR, Western blot, enzymatic assays. Have a working knowledge of statistics. Work well
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the Department of Epidemiology and Biostatistics at Indiana University to develop and apply advanced statistical approaches for evaluating device-based measures of physical activity and relationships with
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with R, Python, Netlogo), statistical analysis/econometrics, and epidemiology modeling. Experience developing mathematical/simulation models to address problems in public health, epidemiology, or health
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 17 hours ago
of the mentor, the research participant will be involved in investigating and determining appropriate covariates to be included in the statistical model for parallel BE studies; developing and applying PBPK