94 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "U.S" positions at University of Washington
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- $12,000 per month ($108,000 - $144,000 annually), commensurate with experience and qualifications, or as mandated by a U.S. Department of Labor prevailing wage determination. Salary will be pro-rated based
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computer simulations, as well as prior work with food and other biomaterials. The application deadline is December 15, 2025. Interested applicants are encouraged to contact Juming Tang (jutang88@uw.edu
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) commensurate with years of experience as a licensed ARNP or PA , or as mandated by a U.S. Department of Labor prevailing wage determination. This range is inclusive of base salary provided through the UW
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, science, and 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
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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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as a licensed ARNP or PA, or as mandated by a U.S. Department of Labor prevailing wage determination. This range is inclusive of base salary provided through the UW Physicians (UWP) practice plan, in
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directed, taking the philosophy that learning must make sense to the student in order to be effective and meaningful. The child’s point of view is completely respected, and the student is encouraged
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teach students and trainees, including medical students and medical genetics residents through participation as part of the medical genetics courses and supervision as an attending. Compensation The base
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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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in Robotics, including its application to advanced manufacturing, repair and non-destructive testing of composite materials, biomechanics and biomedical devices, physics-based machine learning and