88 machine-learning "https:" "https:" "https:" "https:" "https:" "Cardiff University" Postdoctoral research jobs at Stanford University
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scientists, and machine learning experts will be an essential and enriching component of the position. Strong candidates will have a background in machine learning and natural language processing (NLP), with a
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Engineering Group or Departmental Website: https://web.stanford.edu/group/magiclab/home.html (link is external) Does this position pay above the required minimum?: No. The expected base pay for this position is
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one or more of the following areas is a BIG PLUS: data science (machine learning and AI), cancer biology, animal physiology, organic chemistry, E3-ubiquitin biology, and gene editing. In all cases
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: 1 Year Fixed Term Appointment Start Date: Immediate Group or Departmental Website: http://stanfordsumit.com (link is external) https://www.pedrad.radiologyweb.su.domains/ (link is external) How
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Website: https://med.stanford.edu/stankovic-lab.html (link is external) https://hellerlab-stanford.net/ (link is external) How to Submit Application Materials: Please send the following materials in a
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: Postdoc positions renew yearly with an ideal total duration of 3 to 5 years. Appointment Start Date: Flexible (January-September 2026) Group or Departmental Website: http://hernandez-nunez-lab.com (link is
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: 2 years Appointment Start Date: 9/1/2026 Group or Departmental Website: http://buddhiststudies.stanford.edu (link is external) How to Submit Application Materials: Applications should be submitted via
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. Appointment Start Date: Preferably by July 2026 Group or Departmental Website: https://hph.stanford.edu/ (link is external) How to Submit Application Materials: Submit all application materials
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available Group or Departmental Website: https://med.stanford.edu/wendy-liu-lab (link is external) https://profiles.stanford.edu/wendy-liu (link is external) How to Submit Application Materials: Please send
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connectivity and graph-theoretic analyses Familiarity with MR sequence programming (Siemens or GE platforms) Machine learning / AI applied to neuroimaging data EEG acquisition and analysis Use of neuroanatomical