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. Ph.D. (ideally completion by Summer 2025) in computer science, statistics, operations research, or related fields. Prior experience working with data, including expertise with computational methods Prior
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causal inference methods to examine efficient surveillance and treatment strategies using an integrated database of electronic health records from multiple healthcare systems. Applications are invited
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projects focused on emergency medicine health services. • Utilize advanced quantitative methods to analyze large healthcare datasets, including Medicare and Medicaid claims data. • Publish findings in high
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of the lab, help with teaching archaeobotanical methods in other courses as needed, and engage with faculty and graduate students at the Center. The appointment carries a twelve-month salary commensurate with
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. The position requires experience in modeling multiphase flow, ideally through both numerical and analytical approaches. The primary advisors for this project are Dr. Jenny Suckale (Stanford, Department
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writing, medical education, curriculum design and implementation, program evaluation, and simulation as a teaching method. Opportunities to be involved in the administrative side of sim center operations