243 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" uni jobs at University of Washington
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learning for undergraduate and graduate students interested in aquatic environments, to conduct groundbreaking research on topics pertinent to understanding and managing these environments, and to
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you to review this link for more details: https://faculty.uwmedicine.org/wp-content/uploads/2019/09/UWP-Benefits-Summary-for-recruitingef-edits-v3.pdf Qualifications The successful candidate must have
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extracted from electronic health records, using Python, R, and other relevant tools. Applies statistical and machine learning methods (e.g., descriptive statistics, supervised and unsupervised learning
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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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the department. This may include driving to outpatient account locations to obtain specimens if assigned the “Driving” responsibility. Specimen Processing : Logs tests in the computer and labels, centrifuges
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available at: https://faculty.uwmedicine.org/wp-content/uploads/2019/09/UWP-Benefits-Summary-for-recruitingef-edits-v3.pdf The Cardiac Acute Care Service Advanced Practice Provider (APP) is a member of the
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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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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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, 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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advanced manufacturing, including composite materials manufacturing, biomechanics and biomedical engineering sciences, physics-based machine learning and artificial intelligence modeling and controls, energy