94 fully-funded-phd-program-computer-science-eth Postdoctoral positions at Stanford University
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at conferences and publish results in peer-reviewed journals. Support mentorship of junior researchers and/or students. Required Qualifications: PhD in Computational Organic Chemistry or Computational Materials
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research experience. Research track record should be demonstrated via prior publications in relevant venues in psychology, cognitive science, education, or human-computer interaction. Knowledge and expertise
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Posted on Mon, 08/04/2025 - 17:10 Important Info Deprecated / Faculty Sponsor (Last, First Name): Knowles, Juliet Other Mentor(s) if Applicable: Frank Longo, MD PhD Stanford Departments and Centers
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University required minimum for all postdoctoral scholars appointed through the Office of Postdoctoral Affairs. The FY25 minimum is $76,383. **This position is fully funded for at least two years, and is NOT
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explaining your interest in becoming a postdoc with the respective research lab/center/faculty through the HAI Postdoctoral Fellowship Program (500 words max). Curriculum Vitae (CV) Short answer responses (300
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a PhD in the field of molecular and cellular cancer biology, relevant publications, curiosity for science and innovative thinking, and high fluency in English. Experience with mammalian cell culture
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Stanford food systems working group (link is external) . The postdoc will be responsible for writing proposals seeking funding to expand and sustain these research ideas. This fellowship is confirmed for one
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include, but are not limited to, using the latest computational learning-driven approaches, including computational social science, foundation models and multimodal machine learning, to enhance
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Postdoctoral position in Computational Immunology We are looking for two motivated postdoctoral researchers to work on human macrophage biology in the Department of Pathology at Stanford. Successful candidates
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in Neuroscience, Biomedical Engineering, Computational Biology, or a related field. Strong background in signal processing, including neuroimaging and/or electrophysiology (EEG, MEG) data analysis