2,108 machine-learning "Dana Farber Cancer Institute" positions at University of California, San Diego in United States
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, faculty and administrators Demonstrated experience with python and machine learning libraries and familiarity with AWS Employment is subject to a criminal background check. Pay Transparency Act Annual Full
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& Literature Project (CRLP) provides transformative professional learning in Reading/Literacy. The professional learning centers educators as learners and leaders to ensure that every California student receives
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-agreement instructors. DES operates in 200,000 square feet of managed space, including a large off-campus classroom facility. The unit maintains a robust online learning platform, operating 24/7 with
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by 5/1/24. Eligible Special Selection clients should contact their Disability Counselor for assistance. The mission of the Teaching + Learning Commons (the Commons) is to advance student success
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underutilized in current computer vision applications. This position provides the unique opportunity to collaborate across institutions, build first-of-its-kind data sources, and understand the translational
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future of staff learning and development in a rich, collaborative environment powered by bright minds dedicated to making a difference? If so, we are looking for an innovative Director of Learning Programs
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sequence analysis. Conducts complex statistical analyses, including Bayesian inference, network science, multivariate regression modeling. Builds prediction models using machine learning / AI methods
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community service, such as public information, giving directions and assistance, providing escorts and general crime prevention. Works closely with campus, military, and harbor police in handling security
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of Student Affairs and other campus partners for students in crisis or students with complex psycho-social needs. ~Cover letter required for a complete application. Demonstrated computer experience and skills
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multiple computer systems simultaneously. Other duties as needed. Three (3) years previous related experience in a large complex healthcare setting. Demonstrated working knowledge of medical terminology