75 parallel-computing-numerical-methods "Institute of Computer Science" Postdoctoral research jobs 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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including (but not limited to) the qualifications of the selected candidate, budget availability, and internal equity. Pay Range: $80,000 - $90,000 About the opportunity Stanford University's Institute for
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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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through the Office of Postdoctoral Affairs. The FY27 minimum is $79, 056. Cepika Lab (Surgical Science Section, Division of General Surgery, Department of Surgery) is seeking a productive, organized, and
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neuroscience, biomedical data science, computer science, psychology, psychiatry, statistics, engineering, applied mathematics, or a related field Demonstrated expertise in one or more of the following areas
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Health Initiative), and local Stanford data. Lab members have access to state-of-the-art computational resources, including cloud-based computing and Stanford high performance clusters. We offer
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collection settings (preschools, homes) using a variety of methods (child-centered wearables, deep learning, fNIRS, eyetracking). The postdoc will primarily be mentored by Meg Cychosz (Linguistics), but
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of the following: speech and audio processing, computer vision, eye tracking, or related computational methods. Interest in children's language, attention, or learning, and enthusiasm for working with
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limited to) the qualifications of the selected candidate, budget availability, and internal equity. Pay Range: $79,056 - $81,053 The Mignot Lab ( https://www.mignotlab.com (link is external) ) is
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‑performance computing cluster offer an unmatched playground for ambitious science. Key Responsibilities • Design, execute, and analyse high‑density electrophysiological recordings (e.g., Neuropixels) in