74 computer-engineering-"https:"-"https:" "Computer Vision Center" research jobs at Stanford University
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Qualifications: Ph.D. in Psychology, Linguistics, Cognitive Science, Electrical Engineering, Computer Science, Education, Speech & Hearing Sciences, or a related field. Substantial experience with at least one
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; full Stanford benefits included. Required Qualifications: What We’re Looking For: • PhD or equivalent in Neuroscience, Cognitive Science, Computer Science, Biomedical Engineering, or related field
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postdocs, graduate students, research staff, clinicians, and undergraduates. Required Qualifications: Ph.D. in Linguistics, Cognitive Science, Psychology, Electrical Engineering, Computer Science
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Departmental Website: https://med.stanford.edu/medphysics.html (link is external) How to Submit Application Materials: Please send application materials to [email protected] (link sends e-mail) with the
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, 2022, Qin et al, Cancer Research 2025). We do research at the forefront of spatial biology and offer training in human histology, statistics, omics data analysis, computer vision, grant writing, and
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approval. The appointment includes eligible medical, dental, vision, and life-insurance coverage through Stanford's benefits provisions for postdoctoral scholars. The final appointment and
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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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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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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