253 machine-learning "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" "U.S" positions at Stanford University
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strategic financial planning and sustainability for the program/entity, as needed; monitor performance and ensure appropriate controls. Teach or co-teach courses; oversee the administration of courses; create
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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
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in which all members have diverse roles. A hybrid or remote work agreement may be considered for this position. Learn more about our team here: https://med.stanford.edu/pans.html . Duties include
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subsea digital twin of deep-water mooring lines for floating offshore wind turbines. The digital twin will be integrated with machine learning algorithms for detection of primary entanglement due
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outcomes. General computer skills and ability to quickly learn and master computer programs, databases, and scientific applications. Ability to work under deadlines with general guidance. Excellent
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. * Strong relevant subject matter knowledge. * Ability to direct the work of others, for jobs requiring supervision. PHYSICAL REQUIREMENTS*: Constantly perform desk-based computer tasks. Frequently stand/walk
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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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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 telephone and write by hand
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, 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 forcefully, sort and file
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Metabolism Postdoc Appointment Term: 2 years Appointment Start Date: Rolling admission, applicants can apply as soon as possible. Group or Departmental Website: https://www.research.va.gov/programs/bd-step