265 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" positions at University of Washington
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advanced manufacturing, including composite materials manufacturing, biomechanics and biomedical engineering sciences, physics-based machine learning and artificial intelligence modeling and controls, energy
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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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, atmospheric signals), data fusion across sensing modalities, and development of scalable machine learning pipelines. Work will be entirely computational and based in Seattle, with no field deployment
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supporting the faculty and staff in their use of the computer system at UWMC, HMC, VA, SLU and other facilities supported by the Department of Medicine IT Services and remote environments. The IS Help Desk
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. May lead or instruct helpers or other maintenance workers as required. Perform related duties as required. Minimum Qualifications Completion of a recognized apprenticeship as a journey worker, OR full
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application development (containers and containers orchestration, machine learning, function as a service) Secure web application development practices Lean/Agile software development methodologies Work in
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problem solving ability and time management skills. Computer proficiency and demonstrated ability to learn specialized programs. Strong interpersonal skills and demonstrated excellence in written and verbal
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: Adobe Acrobat, Analytical Thinking, Computerized Accounting, Computer Literacy, Deadline Management, Grant Administration, IBM Cognos Analytics, Interpersonal Communication, Learning New Technologies
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of this position is to assist with wet lab experiments related to pre-clinical development of CAR immunotherapies. More specifically, the technician will assist with in vitro and in vivo CRISPR screens to identify
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and systems, computer engineering, control systems and robotics, devices, power and energy systems, signal processing, machine learning, data science, and engineering education. Hires will be made