301 machine-learning "https:" "https:" "https:" "https:" "https:" positions at University of Washington
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supporting a learning environment that promotes health, safety, and integrity. This position provides regular building maintenance function by performing custodial tasks to maintain cleanliness and care
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candidates with strong expertise in Bayesian methods, uncertainty quantification, and/or machine learning applied to nuclear theory. The group’s research spans a wide range of topics including nuclear
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, as well as departmental service. For this position, the successful applicant will be expected to teach three or more classes at the Undergraduate or Graduate levels, possibly cross listed across
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the Finance & Administration group. Please visit the UW Facilities web page for more information: https://facilities.uw.edu/ . Maintenance & Construction (M&C) is responsible for general maintenance
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respectful learning environments, and promote access, opportunity and justice for all. UW Recreation is looking to hire multiple Temp Custodians to perform a variety of custodial tasks to maintain clean
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demands of the school and our students. The Learning Technologies Specialist provides support to the Information School's Office of Academic Services, primarily in the areas of course support, and learning
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morphology (e.g., geometric morphometrics, machine learning), and phylogenetic comparative approaches. We have: • An engaging, supportive, and collaborative research environment. • Opportunities
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learning come together, the opportunity to network with other practitioners in different specialties and to continuously learn about new cutting-edge therapies • All activities of Pharmacy Technicians
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UW’s Faculty Code Section 24-34 . Position FTE is negotiable - information about benefits eligibility can be found at https://hr.uw.edu/benefits/insurance/health/eligibility-for-insurance/ . While
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commensurate with experience and qualifications as generally described in UW’s Faculty Code Section 24-34 . Position FTE is negotiable - information about benefits eligibility can be found at https://hr.uw.edu