100 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" research jobs at Stanford University
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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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: 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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and/or cutting edges machine learning techniques to make foundational discoveries in reproductive medicine. The annual salary for this full-time position starts at $76,383, dependent upon skills and
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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
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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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and patient-reported outcomes; (b) observational research and comparative effectiveness studies; (c) intervention studies; (d) clinical informatics, mobile/electronic health; (e) machine learning
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Appointment Start Date: Immediately Group or Departmental Website: https://med.stanford.edu/lulab.html (link is external) How to Submit Application Materials: Email the required application materials to bingwei
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: The position is for one year with the potential for annual renewal, contingent on performance and funding Appointment Start Date: June 2026/flexible Group or Departmental Website: https://med.stanford.edu/liver
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theoretical knowledge of science principals to problem solve work. Ability to maintain detailed records of experiments and outcomes. General computer skills and ability to quickly learn and master computer
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Appointment Term: 2 years Appointment Start Date: July 1, 2026 Group or Departmental Website: https://ed.stanford.edu/faculty/ksadow (link is external) How to Submit Application Materials: Fill out