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learning to derive principled models of cortical computation. Our newly refurbished primate facility, state‑of‑the‑art Neuropixels rigs, and high‑performance computing cluster offer an unmatched playground
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include, but are not limited to, using the latest computational learning-driven approaches, including computational social science, foundation models and multimodal machine learning, to enhance
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degradation capacity to cope with misfolded and aggregated proteins and characterize them in model systems of neurodegenerative diseases. Our goal is to develop nanobodies into mRNA-deliverable effectors
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experience. Research background in decision making systems, in particular the use of different optimization, machine learning, and decision making modeling techniques for problem solving. Desire to grow
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, and internal equity. Pay Range: $77,000 - $80,000 Postdoctoral Fellow in Large Language Models and Electronic Phenotyping in Cancer We are seeking a highly motivated Postdoctoral Research Fellow with
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employ advanced analytical methods in large databases, which include claims data and electronic health record data in conventional structures and in common data models. Our research group prioritizes a
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would include: Co-developing a hybrid machine learning/process-based model of anaerobic digestion processes Performing techno-economic and lifecycle analysis of microgrids build around novel biogas-fueled
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professional references A list of funding opportunities (including fellowships) for which the candidate is currently eligible or expects to be eligible in the near future Stanford is an equal opportunity
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applications must include the following: - A brief cover letter - A current curriculum vitae - A statement of proposed research - A dissertation abstract or summary - An undergraduate/graduate course proposal
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in relevant fields. Required Application Materials: A cover letter outlining research interests and relevant experience. A current CV. Contact information for three references. Stanford is an equal