661 computer-"https:"-"APOS-UFFICIO-CONCORSI-DOCENTI" "https:" "https:" "https:" "https:" "J. F" positions at Stanford University
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liaison between Center staff and the Program Group to coordinate conferences and events and share information. Staff and attend events as necessary. Act as the liaison for high-level speakers to ensure all
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appointment is 1 year with an expected renewal for a 2nd year based on mutual agreement. Appointment Start Date: Oct 1, 2025 Group or Departmental Website: https://profiles.stanford.edu/andreas-loening (link is
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The Stanford Autonomic Disorders Program in the Department of Neurology & Neurological Sciences, is seeking to hire a Research Data Analyst 1 to manage and analyze large amount of physiological data
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. The Stanford Vision and Learning Lab (SVL) at SAIL within the Computer Science Department addresses the theoretical foundations and practical applications of computational vision. We are focused on discovering
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REQUIREMENTS*: * Frequently stand, walk, twist, bend, stoop, squat, grasp lightly, use fine manipulation, grasp forcefully, perform desk-based computer tasks, use telephone, write by hand, lift, carry, push and
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*: • Frequently stand/walk, sit, perform desk-based computer tasks, use a telephone, writing by hand, sort/file paperwork or parts, twist/bend/stoop/squat, and grasp lightly/fine manipulation. • Occasionally
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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
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Welcome to Stanford’s Department of Athletics, Physical Education and Recreation (“DAPER”), the premier intercollegiate athletics program in the country. With an unparalleled record of 138 NCAA team
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expertise in cellular immunology, molecular immunology and oncology, synthetic biology, computational science and clinical investigation. The Mackall laboratory works closely with clinical and translational
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. The Stanford Vision and Learning Lab (SVL) at SAIL within the Computer Science Department addresses the theoretical foundations and practical applications of computational vision. We are focused on discovering