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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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. Appointment Start Date: October 1, 2026 Group or Departmental Website: https://esos.stanford.edu/(link is external) https://sustainability.stanford.edu/about-school/centers-programs-initiatives/su...(link is
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Medicine Postdoc Appointment Term: One year with possibility of extension Appointment Start Date: October 1, 2026 Group or Departmental Website: https://profiles.stanford.edu/john-openshaw(link is external
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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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institutional strategy, ESD priorities, and DOE Office of Science objectives. As the primary point of contact to DOE Basic Energy Sciences (BES) Chemical Sciences, Geosciences, and Biosciences (CSGB) program(s
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Research, the Institute for Computational and Mathematical Engineering, the Human-Centered Artificial Intelligence initiative, and numerous other interdisciplinary partners across campus. This rich
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intellectual perspectives these backgrounds bring. Prof. Lynette Cegelski is Professor of Chemistry and, by courtesy, of Chemical Engineering at Stanford and is affiliated with the Stanford Biophysics Program
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: Ph.D. in Linguistics, Cognitive Science, Psychology, Electrical Engineering, Computer Science, Education, Speech & Hearing Sciences, or a related field. Substantial experience with at least one of the
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Appointment Term: One year, renewable annually for up to three years. Appointment Start Date: September 1, 2026, with flexibility for a start as late as December 2026. Group or Departmental Website: http
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bioinformatics, computational biology, genomics, microbiology, virology, environmental engineering or a closely related field, completed by the start date. Demonstrated experience analysing high-throughput