58 parallel-programming-"Computer-Vision-Center" Postdoctoral positions at Stanford University
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, Computational Neuroscience, Computer Science, or a related field. Strong background in neuroimaging/physiological data analysis (e.g., MRI, EKG) and programming (e.g., Python, MATLAB, R). Expertise in
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more of the following areas are encouraged to apply: Foundation Models Agentic AI Reinforcement Learning Medical Image Analysis Required Qualifications: Ph.D. in Computer Science, Electrical
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of the following: speech and audio processing, computer vision, eye tracking, or related computational methods. Interest in children's language, attention, or learning, and enthusiasm for working with
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learning, computer science, or a related field. Demonstrated experience analyzing single-cell and/or spatial genomics datasets is a plus but not necessary. Proficiency in programming (e.g., Python, R) and
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do research at the forefront of spatial biology and offer training in human histology, statistics, omics data analysis, computer vision, grant writing, and scientific publishing. Required
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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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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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bedside monitoring. Required Qualifications: PhD, MD, MD-PhD, or equivalent degree in biomedical engineering, electrical engineering, computer science, data science, applied mathematics, physiology
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Centers: Medicine, Stanford Prevention Research Center Postdoc Appointment Term: 3+ years. The initial appointment is for 12 months with the opportunity to renew each year pending satisfactory
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signaling, T cell programming, cancer cell intrinsic immune evasion, and the tumor microenvironment. These efforts linked by a common effort to translate therapies to patients, with a disease focus on