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Position Description The Department of Biomedical Data Science (DBDS) at the Stanford University School of Medicine (SoM) invites applications for an open-rank faculty position at the Assistant
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, Computational Neuroscience, Computer Science, or a related field. Strong background in neuroimaging/physiological data analysis (e.g., MRI, EKG) and programming (e.g., Python, MATLAB, R). Expertise in
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Date: Available immediately, depending on visa status and requirements. Group or Departmental Website: https://med.stanford.edu/matteo-mole.html (link is external) https://www.devo-evo.com (link is
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precision psychiatry, neuroimaging, computational neuroscience, AI for mental health, and/or multimodal data science. Required Qualifications: A PhD, MD/PhD, or equivalent research doctoral degree in
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health data science. Primary responsibilities Design, implement, and validate predictive models that use imaging data (e.g., CT, MRI, PET) to forecast response to adjuvant treatments. Build end-to
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properties and the collection and use of geophysical data. Our interests span Earth’s interior, near-surface, oceans, and atmosphere, as well as planetary science. The successful candidate will teach
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Departments and Centers: Chemistry Appointment Start Date: Late 2026 or Early 2027 Group or Departmental Website: https://cegelskilab.stanford.edu (link is external) How to Submit Application Materials
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you looking for a challenging and rewarding postdoctoral fellowship in pain science, substance use disorders (SUD), data science, or their intersection. Join the next generation of pain and SUD
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have demonstrated strong research abilities and exhibit a commitment to teaching and mentoring. The successful candidate must have a Ph.D. in statistics, data science, computer science, mathematics, or
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must have a Ph.D in statistics, data science, computer science, mathematics, or a related discipline at the time of appointment and will be expected to teach and advise students at both the graduate