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Simons Collaboration on the Physics of Learning and Neural Computation | California City, California | United States | about 18 hours ago
research groups of collaboration PIs Surya Ganguli and Eva Silverstein. Fellows can take advantage of a vibrant physics, neuroscience, and computer science community at Stanford and will actively
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business, chemistry, computer science, electrical engineering, materials science, mathematics, mechanical engineering and physics, as well as emerging technical fields such as autonomic computing
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preferences. Qualifications Applicants must have, or expect to receive before the start date, a Ph.D. in Computer Science, Data Science, Physics, or a related field. Experience with large language models and
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. from an accredited institution in Artificial Intelligence, Machine Learning, Computer Science, Computer Engineering, Data Science, Electrical Engineering, Natural Language Processing, or a closely
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Position Description The Department of Biomedical Data Science (DBDS) at the Stanford University School of Medicine (SoM) invites applications for an open-rank faculty position at the Assistant
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capabilities. Compare the accuracy and inference speed of the DL emulator against traditional CFD results. What you contribute Enrollment in Scientific Computing, Computer Science, Physics, Geoinformatics
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part of a fully-funded doctoral degree at one of the top universities in the world is what sets this scholarship programme apart. The projects would benefit from skills in computer science