263 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" positions at University of Washington
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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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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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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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visitors from all over the globe who come to learn, study, teach, and discover. FHL is committed to fostering an environment that is professional, ethical, inclusive and respectful of all who participate 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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, 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
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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