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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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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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, 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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in interview data to patterns found in academic transcript data, in collaboration with Dr. Ciocca Eller Conduct statistical analyses of data and process and clean raw data using Stata Prepare