255 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" positions at Stanford University in United States
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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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skills. * Proficient computer skills and experience with office software and email applications such as Microsoft Office, Adobe Acrobat, etc. * Proficiency in content management systems (e.g. AEM, Website
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Stanford University, recognized as one of the most prestigious and innovative academic institutions in the world, has an opening for an Office Manager & Executive Assistant in the Department of Learning
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patients requiring urgent or emergent intervention. The fellowship provides comprehensive training in data engineering, exploratory analysis, statistical modeling, machine learning, and artificial
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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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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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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 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
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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