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surrounding building such an experimental toolkit; from the ultrafast optics to the spatial resolution and statistical data analysis. Basic Qualifications PhD in Physics, Chemistry, Biology, Mathematics and
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a PhD in machine learning, math, stats, physics, or some other technical area by the time the position starts. Additional Qualifications Candidates should have significant experience in some area of
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policy, economics, statistics, or a related quantitative field Additional Qualifications Strong skills in Stata, R and/or Python and experience analyzing complex data Demonstrated experience working with
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, math, statistics, and/or computer science Experience with programming, data science, and geospatial analysis (especially R, Stata, Julia, MATLAB, or Python) An enthusiasm for empirical research and an
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health data; knowledge of infectious disease transmission dynamics; and competence in applied Bayesian statistical modelling. Strong quantitative background, with demonstrated ability to program in one
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policy, economics, statistics, or a related quantitative field Additional Qualifications Strong skills in Stata, R and/or Python and experience analyzing complex data Demonstrated experience working with
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seeking candidates with a PhD in Statistics/Biostatistics for a postdoctoral position. Position involves the development of methodology in the areas of clustered and survival data analyses. The application
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in mental health services and policy research to individuals who have completed all requirements for PhD, MD, or other relevant doctoral degrees in economics, political science, statistics, sociology
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will be involved in all stages of the research. Responsibilities will include―but are not limited to―conceptualizing and conducting statistical/econometric analyses, developing conceptual models
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Details Title HMS - Postdoctoral Fellow in Health Care Policy - Statistical Methods School Harvard Medical School Department/Area Department of Health Care Policy Position Description The Department