304 machine-learning-"https:" "https:" "https:" "https:" "https:" positions at University of Washington
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; prepare data for computer input; analyze computer printouts; set up research database files Assist in modifying data collection forms; survey and summarize relevant literature Assist in gathering patient
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link for additional benefits that may be available at: https://faculty.uwmedicine.org/wp-content/uploads/2019/09/UWP-Benefits-Summary-for-recruitingef-edits-v3.pdf Job Duties and Responsibilities: 1
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) Pediatric Ambulatory clinics are looking for a Medical Assistant, Level II who has interest in learning front desk check in and out processes. Excellent patient care starts from the moment a patient walks in
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systems/programs including, but not limited to: Instrument linked computers Sunquest LIS Lab Medicine server systems UW Medicine systems (e.g., Epic) Microsoft Word, Excel, Outlook MyChem MediaLab Be
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local environmental and safety regulations. Frequent use of the environmental data management software tool (EHS Assist) is required for this position. Familiarity with, or ability to quickly learn
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maintain a 16-seat computer lab dedicated to digital dentistry, ensuring all systems are operational and up to date. Distance Learning Coordination: Ensure daily connectivity and functionality of distance
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. Experience with process improvement initiatives. Excellent driving record. Experience as a bus driver. Basic computer skills or willingness to learn/use computers and related applications. Excellent customer
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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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established by 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
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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