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will have access to extensive computing resources, including access to ~100 Nvidia H200 GPUs. Applicants should hold a Ph.D. in computer science-related or biomedical research fields relevant
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applications Experience with AI model optimization and edge deployment Familiarity with AI hardware acceleration (GPUs, TPUs) Experience with data engineering and AI pipelines This position is hybrid, with a mix
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