320 machine-learning "https:" "https:" "https:" "UCL" positions at Stanford University
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individuals who are passionate about science, learning, and collaboration. Candidates with a strong background in molecular and cellular biology, and/or experience in bioinformatics, will find this an ideal
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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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that every member of the staff has something to contribute, and that learning is constant. We seek a team member who is ready to share their skills and perspectives. About Stanford University Libraries
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Term: 1-2 years renewable Appointment Start Date: asap Group or Departmental Website: https://med.stanford.edu/content/sm/kramsmartinezlabs.html/ (link is external) How to Submit Application Materials
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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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Appointment Start Date: As soon as possible (but also interested in candidates who want to start later) Group or Departmental Website: https://profiles.stanford.edu/pascal-geldsetzer (link is external) How
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relevant experience. To be successful in this position, you will bring: Slate, PeopleSoft experience highly desirable. Knowledge of computer system capabilities, business processes, and work flow. Experience
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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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above shoulders, perform desk based computer tasks, use a telephone and write by hand, lift, carry, push, and pull objects that weigh up to 40 pounds. * Rarely kneel, crawl, climb ladders, grasp
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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