317 machine-learning "https:" "https:" "https:" "https:" "https:" "Cardiff University" positions at Stanford University
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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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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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preferred. PHYSICAL REQUIREMENTS*: Frequently stand, walk, twist, bend, stoop, squat and use fine light/fine grasping. Occasionally sit, reach above shoulders, perform desk based computer tasks, use a
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computer skills and demonstrated experience with office software and email applications. Demonstrated success in following through and completing routine tasks. Strong organizational skills and attention
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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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complete the Stanford application process and submit their CV and letter of interest thru the Stanford Careers website - https://careersearch.stanford.edu/ referencing job number: 108273. The expected pay
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clearing accounts for Work Order resource transactions Fleet Garage Service Architectural Trades, Mechanical, Electrical, Plumbing, Grounds, and Machine Service DMV Registration Specialty Services Custodial
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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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: Jewish Studies Postdoc Appointment Term: one year Appointment Start Date: September 1, 2026 Group or Departmental Website: https://jewishstudies.stanford.edu/ (link is external) How to Submit Application
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or Departmental Website: https://med.stanford.edu/michellelinlab.html (link is external) How to Submit Application Materials: Please send materials to PI Dr. Michelle Lin (mplin [at] stanford.edu) with the subject