52 cloud-computing "Computer Vision Center" Postdoctoral positions at Stanford University
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Health Initiative), and local Stanford data. Lab members have access to state-of-the-art computational resources, including cloud-based computing and Stanford high performance clusters. We offer
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large-scale models Expertise in at least one of computer vision, speech recognition, or multimodal learning, with experience in real-world technology deployment Experience with human-in-the-loop
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candidate, budget availability, and internal equity. Pay Range: $79,000 - $85,000 We seek a highly motivated computer scientist for a post-doctoral position in our multi-disciplinary health services
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this position? You will sit at the center of a uniquely cross‑disciplinary team and work closely a network of collaborators. • Jan Zimmermann — University of Minnesota • Aaron Batista — University of
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management. Experience working comfortably at scale: large and unwieldy data frames, high-performance computing clusters or cloud compute, and workflows that must run reliably on a fixed weekly
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neuroscience, biomedical data science, computer science, psychology, psychiatry, statistics, engineering, applied mathematics, or a related field Demonstrated expertise in one or more of the following areas
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, programmable cloud laboratories. We are seeking a post-doctoral research scientist with broad, interdisciplinary experience for a two-year, renewable term, who is passionate about revolutionizing the
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FY27 minimum is $79, 056. The Stanford Optima Group is seeking a highly motivated and skilled postdoctoral researcher to lead projects related to PhacoTrainer—computer vision models for cataract
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learning computer vision models to classify mosquito breeding habitat on very high-resolution remote sensing data. The Postdoctoral Research Fellow will join an interdisciplinary team of physician
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AI, neuroscience, and human health. Required Qualifications: A Ph.D. in computer science, computational neuroscience, biomedical engineering, electrical engineering, cognitive science, applied