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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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analysis and statistics. Experience with designing and executing cell-culture based, host-microbiota interaction studies including attachment-invasion assays, transwell assays, and working with bacterial
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, control theory, or a related field. Strong statistical understanding and a talent for data analysis and visualization using Matlab or Python are expected. Specific experience with experimental design
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models, drawing from computer vision, natural language processing, and graph neural networks Preparing transparent, interactive data visualizations Conducting statistical analyses Literature reviews
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Health’s Department of Biostatistics is seeking a highly motivated postdoctoral research fellow to pioneer cutting-edge statistical and machine-learning approaches for the analysis and synthesis of diverse
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electronically), organize (merging and creating analytic data sets), summarize (summary statistics using Stata or similar software), and analyze data (regression analysis using Stata or similar software). Assist
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study meetings with collaborators, providing support for daily study operations, preparing ethics committee applications, creating monthly data reports, performing statistical analyses, and research
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target trial emulation in combination with advanced epidemiologic and statistical methods to draw inferences from longitudinal data to answer pressing outstanding questions related to the safety and