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connectivity and graph-theoretic analyses Familiarity with MR sequence programming (Siemens or GE platforms) Machine learning / AI applied to neuroimaging data EEG acquisition and analysis Use of neuroanatomical
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, including market design, auctions and matching theory, broadly defined. A list of participating faculty is available on the Center’s website. The fellowship is a one year appointment with the possibility
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of neuroscience and AI in collaboration with theory and modeling teams. What We Offer A collaborative, interdisciplinary research environment spanning neuroscience, artificial intelligence, and systems engineering
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connections between the lab, classroom, and society. Required Qualifications: Highly motivated postdoctoral researcher with extensive experience with item response theory models, computer adaptive testing, and
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initiative to reimagine economic theory and metrics for an AI-powered future. (https://digitaleconomy.stanford.edu/the-economics-of-transformative-ai/ (link is external) ). The Stanford Digital Economy Lab