54 channel-coding-electrical-engineering Postdoctoral positions at Stanford University
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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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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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and DNA bar coding technology strongly preferred. Required Qualifications: PhD in immunology, molecular biology, or a related field. Required Application Materials: Please send a letter describing your
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produce diverse ion channels with the appropriate quality, quantity, and stoichiometry to support proper membrane electrical activity. In this project, the successful candidate will work with a
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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
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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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physiological roles do mechanosensitive ion channels play in the eye? 2) How do we leverage mechanotransduction for neuromodulation? We are actively developing translational therapies for glaucoma and
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, electrical engineering, cognitive science, applied mathematics, physics, or a related field. Strong computational background and hands-on experience building AI/ML models. Expertise in modern architectures
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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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and settings, including children who are deaf and hard-of-hearing. Required Qualifications: Ph.D. in Psychology, Linguistics, Cognitive Science, Electrical Engineering, Computer Science, Education