316 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "U.S" positions at Stanford University in United States
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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
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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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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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Biology Stanford Cancer Center Postdoc Appointment Term: Open-ended. Appointment Start Date: ASAP Group or Departmental Website: https://rogala.stanford.edu/ (link is external) How to Submit Application
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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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to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment VISA. About Us The Stanford Doerr School of Sustainability strives to create a future when humans and
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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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Tranplantation and Regenerative Medicine Postdoc Appointment Term: 1-year term (Renewal is based on performance -- Max of a 5 years) Appointment Start Date: As Soon As Possible Group or Departmental Website: https
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and EKG. 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