40 phd-position-computer-science "https:" Postdoctoral positions at Stanford University
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. Lynette Cegelski is the Monroe E. Spaght Professor of Chemistry and Courtesy Professor of Chemical Engineering at Stanford. She is affiliated with the Stanford Biophysics Program, Sarafan ChEM-H, and the
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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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: https://amboies.com/(link is external) How to Submit Application Materials: Applications will be reviewed beginning September 1, 2026 and will continue until the position is filled. Please submit
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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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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 science
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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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that will allow people to live healthier lives. This position is geared toward a recent PhD graduate interested in interdisciplinary research, with experience in field implementation in low-income settings
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biology and offer training in human histology, statistics, omics data analysis, computer vision, grant writing, and scientific publishing. Required Qualifications: 1. A doctoral degree (PhD, MD
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the Stanford Woods Institute for the Environment’s Realizing Environmental Innovation Programs (https://woods.stanford.edu/research/funding-opportunities/realizing-environmental-innovation-program(link is
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outcomes for children with IBD. The successful candidate must hold a PhD, PharmD or MD/DO with a focus on pharmacometrics or computational biology/bioinformatics focused on -omics with an interest in