12 phd-position-in-cognitive-science "https:" Postdoctoral positions at Stanford University
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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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prognostic markers for psychosis in youth at clinical high risk, using state-of-the-art AI models and multimodal neuroimaging, clinical, and cognitive data. The position will emphasize advanced computational
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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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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
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position. Appointment Start Date: Ideally on or before July 1, 2026 Group or Departmental Website: https://med.stanford.edu/buckwalter-lab.html(link is external) https://med.stanford.edu/neurology/divisions
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Intelligence (HAI) Medicine, Biomedical Informatics Research (BMIR) Postdoc Appointment Term: 1 year with potential to renew Appointment Start Date: June 2026 Group or Departmental Website: https
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. Proficiency in programming (e.g., Python, R) and familiarity with common bioinformatics tools and packages. A PhD in developmental biology, cell biology, regenerative medicine, or a related field. A required
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benefits: Competitive and commensurate with experience; full Stanford benefits included. Required Qualifications: What We’re Looking For: • PhD or equivalent in Neuroscience, Cognitive Science, Computer Science
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realistic career plans. Disciplines in which we offer training Molecular and cellular biology Optogenetics Electrophysiology Genetics Cognitive neurosciences Psychology Neuroimaging Data sciences Epidemiology