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, candidates should possess a strong background in quantitative fields such as Mathematics, Physics, Engineering, or Computer Science. This is a collaborative, cross-functional team, and project assignments will
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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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bioengineering, computer science, statistics, or mathematics OR a strong background in gene engineering and functional interrogation of hematopoietic stem and progenitor cells. Strong knowledge in bioinformatics
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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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; (b) chemistry; (c) mathematics. The physics-based subgroup focuses on a wide spectrum of issues ranging from: (i) novel adaptations of aberration-corrected modern electron microscopy and spectroscopy
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Research, the Institute for Computational and Mathematical Engineering, the Human-Centered Artificial Intelligence initiative, and numerous other interdisciplinary partners across campus. This rich
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: Candidate must have a strong quantitative background, with a PhD in computational biology, bioinformatics or related field including bioengineering, computer science, statistics, or mathematics. Strong
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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
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Posted on Sat, 03/07/2026 - 12:45 Important Info Faculty Sponsor First name: Sindy Faculty Sponsor Last Name: Tang Stanford Departments and Centers: Mechanical Engineering Bioengineering Group or Departmental Website: https://stanford.edu/group/tanglab/ (link is external) How to Submit...