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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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, project reviews, and public-facing events. Contribute to research proposals, intellectual-property development, and future scale-up activities. Required Qualifications: PhD in mechanical engineering
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have a PhD in health policy; management science and engineering; operations research; economics; or a related field. They should exhibit strong attention to detail, time management skills, fluency in a
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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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: Radiology, RSL Bioengineering Postdoc Appointment Term: 1-year with possible extension to two or more Appointment Start Date: 9/1/2026 Group or Departmental Website: https://med.stanford.edu/cmrgroup.html
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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
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: The Postdoctoral Research Fellow will have completed a PhD and we welcome applicants from public health, epidemiology, medicine, environmental science, design, engineering, data science, implementation science or
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Centers: Earth System Science Mechanical Engineering Medicine, Infectious Diseases & Geographic Medicine Postdoc Appointment Term: This position is confirmed for two years, pending satisfactory performance
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for recent MD and PhD graduates who are passionate about leveraging computational methods to transform trauma and acute care surgery. Fellows will work at the intersection of clinical medicine, data