86 computer-security-phd-student Postdoctoral positions at Stanford University in United-State
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doctoral students applying must include a statement from their dissertation advisor confirming that the Ph.D. will be conferred by July 1, 2026. Required Qualifications: Applicants must have earned the PhD
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degree (PhD, MD, or equivalent) or Master’s degree in a relevant field (e.g., Computer Science, Biomedical Engineering, Public Health, Surgery) Experience in clinical research, data analysis, or machine
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breakthrough or develop a transformative innovation or tool that can form the foundation of an independent research career/program in academia or industry. Required Qualifications: PhD in a quantitative life
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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 engineering, and
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. She is also a faculty member in the Biophysics Program and a Faculty Fellow of the Sarafan ChEM-H (Chemistry, Engineering and Medicine for Human Health) Institute. Cegelski’s PhD in Chemistry and
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) Contribute to the development of grant proposals. Required Qualifications: Qualifications: PhD in Computational Biology, Biostatistics, Computer Science, Immunology, Molecular Biology, or a related field
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the resulting data from the experiments. Required Qualifications: Candidate must have a strong quantitative background, with a PhD in computational biology, bioinformatics or related field including
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career/program in academia or industry. Required Qualifications: PhD in a relevant field Required Application Materials: CV Brief description of research interests and career goals Stanford is an equal
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University required minimum for all postdoctoral scholars appointed through the Office of Postdoctoral Affairs. The FY25 minimum is $76,383. The Stanford Center on Computational Market Design invites
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disease, including AI-powered tools and new statistical techniques that leverage large datasets, heavy computational capabilities, and/or a robust understanding of biological systems to provide unique