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large-scale datasets, distributed training, or high-performance computing environments Interest in scientific applications of AI/ML, including the life sciences Interest in alternative architectures and
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Experience with large-scale datasets, distributed training, or high-performance computing environments Expertise in neuroscience, biologically grounded intelligence, and scientific applications of AI/ML
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Experience with large-scale datasets, distributed training, or high-performance computing environments Expertise in scientific applications of AI/ML in protein biology, cellular systems, and related areas
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, and economics, attentive to ways that religion shapes, guides, and challenges practices of production, exchange, and distribution. We welcome applications from scholars who approach these questions
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, workshops, and other engagements as required. Specific responsibilities include but are not limited to setting and communicating agenda, summarizing meeting notes, collecting and distributing project
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, skilled in the trade of operating and servicing utility systems (chilled water, steam, and compressed air generation/distribution systems and related equipment/components; water/drainage distribution
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activities. Assume complete engineering responsibility for utility distribution systems to ensure system capability, flexibility, reliability, safety, economic operation, and consideration for expansion
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in deep learning at scale, familiarity with the “alphabet soup” of distributed computing (DP, TP, SP, CP, EP) Experience with production environments, including Git-based workflows Experience working
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(FAS) is the historic heart of Harvard University. It is the home of Harvard’s undergraduate program (Harvard College, founded in 1636) as well as all of Harvard’s Ph.D. programs (the Harvard Kenneth C
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needs. Draft and distribute internal communications, including HR digests. Organize departmental spotlights - internal educational presentations - and other similar programming to allow for cross-team