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Qualifications: Recently completed PhD or other doctoral degree in a discipline related to indoor air quality. Training in epidemiology, exposure modeling, and/or environmental health and toxicology preferred
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workflows for data cleaning, linkage, and analysis within Stanford’s secure computing environment. Collaborate with multidisciplinary teams of clinicians, economists, and policy researchers. Prepare
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/artificial intelligence; (f) health policy, health economics, and decision science; (g) and implementation science Eligibility The ideal candidate will have an MD/DO, PhD, or ScD. PhDs/ScDs may be in clinical
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of the selected candidate, budget availability, and internal equity. Pay Range: $76,400 - $85,000 The Secure Health Data Integration and Research (SHINE) Lab is accepting applications for a postdoctoral fellowship
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them to develop prediction models for patient safety events. In addition to priority projects, the Postdoc will have the opportunity to work with other researchers both at Stanford and within our larger
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between TAI and social safety nets Concentration of Power and Decision-Making: Examining risks of AI-driven economic power concentrating in few companies or countries Investigating how AI might shift