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demonstrated ability to design, train, and deploy large-scale models Expertise in at least one of computer vision, speech recognition, or multimodal learning, with experience in real-world technology deployment
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gain training in 2D/3D spatial multi-omics, single-cell spatial pharmacology, AI-enabled tissue analysis, and translational cancer biology, with access to large, high-quality, in-house spatial datasets
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and practitioners. The fellow may also be expected to contribute to flagship projects on how AI can improve access to trustworthy political information, including nonpartisan large language model (LLM
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researchers approach their data, share their scientific results with other investigators, and execute scientific experiments. Stanford is home to leaders in open science, and we are embarking on a large
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National Institutes of Health T32 grants based at Stanford and the VA Big Data-Scientist Training Enhancement Program (BD-STEP). For more senior postdoctoral candidates with MD degrees who may be
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computational background to analyze sequencing, high dimensionality data, and be efficient with bash, python, and/or R. Expertise with genome-wide methylation datasets, next-generation sequencing, related
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seek a highly motivated computer scientist for a post-doctoral position in our multi-disciplinary health services research center within the Department of Surgery. The post-doc will have access to unique