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experience using mouse models of disease. Priority will be given to applicants with prior training in pulmonary biology, or candidates with expertise in computational biology or single cell transcriptomics
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. Develop and apply ab initio computations, molecular dynamics simulations, and machine learning models. Collaborate with other researchers within the group and external partners. Present research findings
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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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Posted on Tue, 03/04/2025 - 15:09 Important Info Deprecated / Faculty Sponsor (Last, First Name): Bohg, Jeannette Stanford Departments and Centers: Computer Science Postdoc Appointment Term: 2025
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experiences. The Fletcher Lab at Stanford University uses computational systems modeling to advance resilient and equitable water resources management for an uncertain future. Current research topics in the lab
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focused on brain resilience using human iPSC models and multi-omics approaches. This collaborative project will be conducted within the Departments of Pathology and Neurology & Neurological Sciences. About
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or Departmental Website: https://woods.stanford.edu/research/climate-and-energy-policy-program (link is external) https://bitsandwatts.stanford.edu/ (link is external) How to Submit Application Materials: Submit by
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use of cutting-edge informatics to prioritize causal variants for validation using functional genomics, including CRISPR. The overall goals of this work are to define novel disease targets and context
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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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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