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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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expertise in Neuropixels or other large-scale in vivo electrophysiology techniques. An expert neural data analyst may be considered even with minimal animal experience. Required Application Materials: Cover
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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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on emergency medicine health services, care transitions, and population-level outcomes. Utilize advanced quantitative methods to analyze large healthcare datasets, including Medicare and Medicaid claims (MedPAR
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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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the Office of Postdoctoral Affairs. The FY25 minimum is $76,383. Our research team is looking for a postdoctoral scholar interested in lymphatic imaging research utilizing a large animal model of lymphatic
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big data and AI at its core. A central goal of the project is to build a foundation model of the visual brain—a “digital twin” that captures neural activity and intelligent behavior at unprecedented
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with computational scientists to integrate and interpret large-scale genomics data. Present research findings in lab meetings, departmental seminars, and conferences; prepare manuscripts and fellowships
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pathways in patients with infectious diseases. This project builds on a large body of work implicating IEI in susceptibility to specific infectious (Ciancanelli, et al. Science 2015; Beziat, et al. Cell 2021
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with healthcare data is welcome but not required. Required Qualifications: A PhD in a quantitative field with a strong programming and statistics background Experience analyzing large datasets