60 parallel-computing-numerical-methods "Fields Institute" Postdoctoral positions at Stanford University
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cyclones, the Madden–Julian Oscillation, and atmospheric rivers. We combine theory, observations, a hierarchy of numerical models, and machine-learning methods to understand their formation, dynamics
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(e.g. lipid nanoparticle) Skills Developed: Immunology: cutting-edge methods in human cellular immunology, innate immunity, T cell biology, multi-color flow cytometry, and organoid research Functional
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the pharmacological industry; prospects for a career in academic or industry are high. In parallel with this effort, we are also working on anti Iglon-5, an HLA-DQ5 associated autoimmune disease
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define the molecular basis for their modes of action in bacterial cells. In parallel, we investigate how bacteria build and organize their cell surfaces, cell walls, and extracellular structures; how
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Centers: Institute for Human-Centered Artificial Intelligence (HAI) Postdoc Appointment Term: This is a full-time position based at Stanford University. The initial appointment runs for one year from
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). Experience applying machine learning or AI methods in these fields is an advantage. The ideal candidate should also be comfortable structuring, linking, and analyzing large datasets that include dense
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Stanford Wu Tsai Neurosceince Institute (link is external) and the Stanford Institute for Human-Centered AI (HAI) (link is external) . Research Focus The fellow will lead computational modeling efforts
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of this work is to develop, validate, and translate computational methods that extract clinically meaningful information from continuous physiologic signals and support improved monitoring, risk
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-art methods in rapid protein testing and multi-unit electrical recordings with high-throughput one- and two-photon methods, in collaboration with other labs at the Wu Tsai Neuroscience Institute. This
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RNA (cfRNA). Projects can be bench-focused, computational, or a combination of both, and range from applying methods developed in the lab to existing patient cohorts, to developing entirely new