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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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, computer science, or a related quantitative field for a two-year Postdoctoral Research Fellow position. This position involves developing statistical methods, data analytic tools, and mathematical models
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A doctoral degree in epidemiology, statistics, computer science, or a related quantitative field Technical Requirements Expert knowledge of R or SAS Additional Qualifications Preferred Skills
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utilization, and disparities in access to mental health care. The most important task of the Research Assistant will be to use statistical software to work with large data sets, including possibly health
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statistical analysis, and model verification. Reliably execute long-term plans using heterogeneous external tools: improving automated planning and decision-making in complex open environments. Postdoctoral
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of statistical analysis is required. ● Familiarity with next-generation sequence data analysis tools ● Basic understanding of molecular biology and next generation sequencing is highly preferred
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, in collaboration with Dr. Ciocca Eller Conduct statistical analyses of data and process and clean raw data using Stata Prepare literature reviews, background research, and other content for project
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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