17 computer-science-programming-languages Postdoctoral positions at Stanford University
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research at the intersection of AI reasoning, biomedical informatics, and clinical medicine. Our work focuses on understanding how AI systems reason over complex longitudinal patient information, how
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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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to continue for a second year; any reappointment is contingent on satisfactory progress, program need, continued funding, and Stanford University approval. The appointment includes eligible medical, dental
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degree with training or research experience in epidemiology, population genetics, and/or computer science Strong coding skills for the data sciences (R, python, etc) Excellent English writing and speaking
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Posted on Thu, 07/16/2026 - 19:23 Important Info Faculty Sponsor First name: Mark Faculty Sponsor Last Name: Musen Stanford Departments and Centers: Medicine, Biomedical Informatics Research (BMIR
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Expertise in primary cell isolation and culture, FACS, confocal imaging, and mouse genetics is preferred Experience with transcriptomics and programming language suitable for computational analysis (e.g. R
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imaging applications of artificial intelligence, image understanding, or related areas Proficiency in Python programming; solid understanding of computer science fundamentals Experience with version control