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workers at the frontier of AI adoption: how people use AI in their work, develop skills and expertise, and adapt tasks and workflows as capabilities advance. We study how human-AI collaboration affects
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numerical astrophysics. The successful candidate will have access to our new computing facilities and will have the opportunity to interact and work with researchers in both the Harvard College Observatory
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. ● Experience using a shared computing environment and a scheduler such as SLURM or qsub preferred ● Experience designing computational methods and tools, including prior experience with
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: Joanna Aizenberg , Amy Smith Berylson Professor of Materials Science Petros Koumoutsakos , Herbert S. Winokur Jr. Professor of Computing in Science and Engineering Na Li , Winokur Family Professor
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modeling brain circuits and neural activity from large-scale, multi-regional recordings Experience with large-scale datasets, distributed training, or high-performance computing environments Expertise in
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computing environments Interest in scientific applications of AI/ML, including the life sciences Interest in alternative architectures and systems-level approaches to AI Special Instructions Please
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cellular biology, including AlphaFold, RFDiffusion, CellCap, or related systems Experience with large-scale datasets, distributed training, or high-performance computing environments Expertise in
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modeling brain circuits and neural activity from large-scale, multi-regional recordings. Experience with large-scale datasets, distributed training, or high-performance computing environments. Experience
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, RFDiffusion, CellCap, or related systems. Experience with large-scale datasets, distributed training, or high-performance computing environments. Expertise in scientific applications of AI/ML in protein
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academic year. For history of the chair, see https://harvaus.fas.harvard.edu/ Incumbents of the Chair will ordinarily hold the title of Gough Whitlam and Malcolm Fraser Visiting Professor of Australian