227 engineering-computation-"https:"-"https:"-"https:"-"https:"-"https:"-"BioData" positions at Harvard University in United States
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economics, public policy, statistics, education policy, computer science, social science, or a related field. Minimum 3 years of related experience that includes complex Stata and/or R programming and
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Requirements Strong computing and strong background/expertise in clustered data, survival data, causal inference or measurement error are desired. Strong written communications Additional Information: Per
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applications to teach in the Sophomore Tutorial program. Tutor positions are open to advanced graduate student and postdocs/PhD-level early career instructors with prior teaching experience. Sophomore Tutorial
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sophistication, including strong statistical skills and comfort with large-scale or complex data. Experience with computational text analysis, such as NLP methods, historical text processing, topic modeling
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Details Title Research Associate and Visiting Faculty in Women's Studies and Religion School Harvard Divinity School Department/Area Women's Studies in Religion Program Position Description Five
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with a proven record of high quality, original, independent research. They will be chosen by the Program Board of the American School of Prehistoric Research. Prior to applying, candidates are encouraged
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. Processes, organizes and summarizes data, reporting results using a variety of scientific, word processing, spreadsheet or statistical software applications or program platforms including R, SAS, Python, and
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created the Environmental Fellows program to enable recent doctorate recipients to use and expand Harvard’s extraordinary resources to tackle complex environmental problems. The Environmental Fellows will
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. Some areas of particular interest include: genetics, evolutionary biology, neurobiology, developmental biology, and stem cell biology. Our lab uses both experimental and computational approaches
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treatment-control interference; · Programming/scripting knowledge suitable for processing raw data for analysis (e.g., text manipulation); · One or more computational environments for statistical analysis