463 machine-learning "https:" "https:" "https:" "https:" "https:" positions at Stanford University
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, 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 kneel, crawl, climb ladders
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website (https://cardinalatwork.stanford.edu/benefits-rewards ) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package
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The Stanford Accelerator for Learning (SAL) seeks a full-time AI Tinkery Manager to oversee operations and programming. In collaboration with faculty and students, the Manager will be responsible for creating
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work. Ability to maintain detailed records of experiments and outcomes. General computer skills and ability to quickly learn and master computer programs, databases, and scientific applications. Ability
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and savings options: Events and program for children, sports camps, tuition options World class intellectual stimulation through learning and development classes, workshops and onsite conferences from
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computer proficiency, including knowledge of PeopleSoft/Axess database systems, Microsoft Excel and Word, with familiarity with reporting tools such as Brio preferred. Willingness and ability to learn new
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The Stanford Accelerator for Learning (SAL) seeks a full-time AI Tinkery Manager to oversee operations and programming. In collaboration with faculty and students, the Manager will be responsible
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, 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, push, and
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commitment of mutual respect, the idea 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
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and early-onset cases without a known genetic cause. We are also interested in genetic interactions (epistasis), tandem repeats, machine learning, and other areas of AD research that have not yet been