44 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" positions at University of Washington
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, robotics, biomechanics and biomedical engineering sciences, physics-based machine learning and artificial intelligence modeling and controls, energy storage and electrification, renewable energy and thermal
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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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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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include experience with fiber sensing, machine learning tools, and big data workflows. Instructions To apply, candidates will submit materials via Interfolio, comprising (1) a letter of interest describing
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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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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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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
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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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month, commensurate with experience and qualifications or as mandated by a U.S. Department of Labor prevailing-wage determination. Other compensation associated with this position may include a moving
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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