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captures neural activity and intelligent behavior at unprecedented scale and resolution. This ambitious project spans multiple institutes including the Wu Tsai Neurosciences Institute, Stanford Bio-X, and
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Fellowship represents a unique opportunity to advance surgical care through innovative applications of data science and artificial intelligence. This interdisciplinary fellowship is designed for recent MD and
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emphasizes statistical inference within high-dimensional testing frameworks and incorporates robust feature selection into artificial intelligence techniques. The team collaborates closely with the Stanford
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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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and aggression, using optogenetics, in vivo imaging, electrophysiology, and sophisticated machine learning/artificial intelligence analyses of mouse behavior. All projects have translational components
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: The Pain Intelligence Lab The Stanford Center for Population Health Sciences Interdisciplinary collaborations within Stanford School of Medicine Opportunities to engage with national networks in rheumatology
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characterize consistency and heterogeneity in mechanisms associated with word reading difficulties (i.e., developmental dyslexia) using a deep phenotyping approach. For example, despite 40 years of controversy
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Intelligence (HAI), Stanford Digital Economy Lab Postdoc Appointment Term: 1-2 Years Appointment Start Date: Sept 1, 2026 Group or Departmental Website: https://digitaleconomy.stanford.edu/ (link is external