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with researchers both at Stanford and the U.S. Census Bureau. The position is open to recent graduates of PhD programs in economics, statistics, sociology or related data science fields, preferably with
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graduates of PhD programs in statistics, economics, computer science, operations research, or related data science fields. The position provides opportunities to participate in rigorous, quantitative research
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and reporting, statistical analysis, scientific presentations, and manuscripts publication. The interventions include cutting-edge behavioral and social psychological approaches, and the position
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disease, including AI-powered tools and new statistical techniques that leverage large datasets, heavy computational capabilities, and/or a robust understanding of biological systems to provide unique
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quantitative social science field with an environmental/global health lens Experience designing and analyzing survey data Strong quantitative analysis skills, with a minimum of 3 years of statistical programming
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programming, probability theory, and statistical analysis of large datasets using R or Python. A successful candidate should have a Ph.D. in Operations Research, Electrical Engineering, or Industrial
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community that spans discovery to clinical implementation. Specific Responsibilities include: experimental design, data acquisition, data processing, statistical computation, methods development, data
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meetings Key Responsibilities: Development and implementation of study protocols Participant recruitment and collection of participant and laboratory data Statistical analysis of data Authorship
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, requiring preliminary judgments after the supervisor outlines conceptual approach. Build and organize data as requested by principal investigator or supervisor; use common statistical programs to generate and
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discipline with strong programming and statistics skills, experience analyzing large datasets (cloud computing/big data workflows preferred), and a track record of completed research projects. Prior experience