132 phd-rehabilitation-engineering-computer-science Postdoctoral research jobs at Stanford University
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world to develop knowledge necessary to realize that vision. We look for the brightest minds in the natural sciences, engineering, materials science, policy, economics, and business who are interested in tackling
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and pain research Required Qualifications: PhD (or equivalent) in epidemiology, health data science, biomedical informatics, biostatistics, public health, or a related field. Demonstrated experience
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in Neuroscience, Biomedical Engineering, Computational Biology, or a related field. Strong background in signal processing, including neuroimaging and/or electrophysiology (EEG, MEG) data analysis
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: Candidate must have a strong quantitative background, with a PhD in computational biology, bioinformatics, biomedical data science, biomedical engineering, computer science, electrical engineering, statistics
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, psychiatry, developmental psychopathology, neuroimaging research (MRI, fNIRS), engineering, computer science, or related fields. Required Qualifications: Doctoral degree (PhD, MD, or equivalent) conferred by
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the following professors will serve as their faculty mentor: Kabir Tambar (Anthropology), Alexander Key (DLCL), Nora Elizabeth Barakat (History), or Lisa Blaydes (Political Science). Stanford Departments and
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at scientific conferences. Required Qualifications: Education: Required: PhD or MD (or equivalent experience) in medical sciences, molecular biology, cell biology, or related field. Work Experience: Required
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enforcement of water-energy-food policies. We are looking for new team members who enjoy team-science and engineering and would thrive in a dynamic, curious, team-oriented, and industrially connected
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fleet, and vendor collaboration with GE Healthcare. Personal ideas and collaborations with other groups in the Stanford Radiologic Sciences Lab are encouraged. Current collaborators include Dan Ennis
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computer science, operations research, applied math, statistics, or a related field Strong background in machine learning, optimization, and/or algorithm design Excellent written and verbal communication skills