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. Specific responsibilities include, but are not limited to, the following: Develop the core tensor network algorithm for full RIXS cross-section simulations. Benchmark simulation results against ED codes
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population-level outcomes. Utilize advanced quantitative methods to analyze large healthcare datasets, including Medicare and Medicaid claims (MedPAR, Outpatient, Carrier, TAF). Develop reproducible code and
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-controlled code, build automation, peer-reviewed codebases Git and GitHub for version control and project management AI-assisted programming tools (LLM-based coding agents) to speed up day-to-day research work
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development, examines the various forms of self-governance, including how engineers, researchers, and firms develop codes of conduct, safety benchmarks, and accountability frameworks, and how these quasi
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have a Ph.D. in economics, public policy, education, or a related field by the start date, strong quantitative and econometric skills, experience coding (in Stata, Python, R, and/or SAS), and an interest
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., GIS/QGIS tools) Writing structured, reproducible, and version-controlled code Exposure to both empirical and, where relevant, structural and theoretical approaches Writing and presenting research
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, ministries of health, and local enumerator teams to manage survey logistics. Oversee enumerator training, pre-testing, and quality assurance protocols. Code survey into appropriate software (e.g., SurveyCTO
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standard study questionnaires and tests, score test measurements and questionnaires, and code data for computer entry. Perform quantitative review of forms, tests, and other measurements for completeness and
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econometrics) or relevant research experience. • Strong coding skills in R, Stata, or other statistical software package. • Good communication skills in English. Required Application Materials: CV (no cover
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, disability, protected veteran status, or any other characteristic protected by law. Additional Information Schedule: Full-time Job Code: 4270 Employee Status: Fixed-Term Grade: E Requisition ID: 108679 Work