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collaboratively. Preference will be given to candidates who are currently completing the last year of their PhD or graduated from their PhD program in the past year. Required Application Materials: One-page
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are encouraged to apply. Required Qualifications: Completion of PhD training. Previous experience in vision or neuroscience research is ideal. Required Application Materials: Cover letter CV - please include: list
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: The successful applicant must have a PhD in chemistry, bioengineering or a related area. Required Application Materials: CV Cover letter Letters of reference Stanford is an equal opportunity employer and all
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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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sciences field, physics, engineering, applied math, or other relevant disciplines. Required Application Materials: CV Brief statements of research interests and career goals Stanford is an equal opportunity
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environment which values kindness, honesty, curiosity and integrity. Required Qualifications: PhD in either - Biochemistry / Molecular Biology / Human Genetics / Bioengineering Further details are given in
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the evolution of resistance to anti-cancer therapies. Developmental Cell. doi.org/10.1016/j.devcel.2021.07.009. Required Qualifications: A PhD in biology, genetics, development, neuroscience, or a related field
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: Pathology Biomedical Data Science Postdoc Appointment Term: 1 year (renewable) Appointment Start Date: As soon as feasible; February 2026 How to Submit Application Materials: Please email the required
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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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Centers: Earth System Science Mechanical Engineering Medicine, Infectious Diseases & Geographic Medicine Postdoc Appointment Term: This position is confirmed for two years, pending satisfactory performance