33 computer-engineering Postdoctoral positions at Stanford University in Postdoctoral
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. Required Qualifications: PhD in Biomedical/Electrical Engineering, Cognitive Neuroscience, Computational Neuroscience, Computer Science, or a related field. Strong background in neuroimaging/physiological
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-polysaccharide assemblies to naturally occurring and engineered polymers and industrially relevant catalytic materials. The Opportunity The successful candidate will lead an interdisciplinary research program in
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of computational methods into clinically interpretable tools for bedside monitoring. Required Qualifications: PhD, MD, MD-PhD, or equivalent degree in biomedical engineering, electrical engineering, computer
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of Health Policy and Prof. Margaret Brandeau in Stanford’s Department of Management Science and Engineering seek a highly skilled individual for an outstanding opportunity to work as a full-time postdoctoral
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help shape a major research direction at the intersection of AI, neuroscience, and human health. Required Qualifications: A Ph.D. in computer science, computational neuroscience, biomedical engineering
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Posted on Tue, 08/18/2026 - 10:22 Important Info Faculty Sponsor First name: Adam Faculty Sponsor Last Name: Boies Stanford Departments and Centers: Mechanical Engineering Postdoc Appointment Term
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on factors including (but not limited to) the qualifications of the selected candidate, budget availability, and internal equity. Pay Range: $79,056 to $85,000 Project-1 – Design, engineer, and evaluate a
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Qualifications: Ph.D. in Computer Science, Electrical Engineering, Biomedical Engineering, Medical Physics, Mathematics, or a related field. Strong publication record and programming skills. Required Application
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Qualifications: A PhD, MD/PhD, or equivalent research doctoral degree in neuroscience, biomedical data science, computer science, psychology, psychiatry, statistics, engineering, applied mathematics, or a related
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for highly motivated postdoctoral candidates with a PhD in bioengineering deep knowledge in computational biology and machine learning. Candidates with a molecular biology or engineering degrees with