161 machine-learning "https:" "https:" "https:" "https:" "https:" uni jobs at Stanford University in United States
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*: 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 telephone and write by hand, lift, carry
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. To learn more about the Center, please visit: http://med.stanford.edu/pmhw . The position will be based within a collaborative team that values a diversity of thought and background, cooperation, fairness
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certification is 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
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degree in a related scientific field. KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED): Comprehensive understanding of scientific principles. General computer skills and ability to quickly learn and master
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light/fine grasping. Occasionally sit, reach 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
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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 forcefully, sort and file paperwork or parts
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, linguistics, communications, and the biological, natural, health, and computer sciences. The Center has a distinguished history of fellowship support for individual scholars and research projects through its
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, experiential learning, integrated education, and connection opportunities, our faculty, staff, alumni, and employers teach through their real-life stories and empower trainees to define and tell their own. Job
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verbal and written). Ability to understand and follow job-related instructions given in English, either verbally or in writing. Basic computer skills(email/Calendaring) and use of smart phone Basic
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outcome to transcranial magnetic stimulation (TMS) in depressed patients. Using machine learning, our projects seek to maximize this EEG biomarker and improve the efficacy of this treatment. The candidate