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blood samples to advance patient care. This role will involve developing computational models (statistical, machine learning, etc.), and using them to perform high throughput analysis of clinical data
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will have the opportunity to learn and apply advanced data analysis techniques, including machine learning and econometric modeling. Through collaboration and technical expertise, this position supports
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Scheduled Hours 40 Position Summary This role is designed to provide experience in clinical research. Apprentices will participate in a 12-month apprenticeship and experiential learning opportunity
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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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Emergency Management team, are the Business Intelligence & Information Technology group and the Finance & Administration group. Please visit the UW Facilities web page for more information: https
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demands of the school and our students. The Learning Technologies Specialist provides support to the Information School's Office of Academic Services, primarily in the areas of course support, and learning
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employees: https://facilities.med.wustl.edu/Careers. Supervises the daily routine of custodial employees assigned to the area, assigns schedules/routes, and addresses coverage problems. Serves as the working
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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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collections, resulting and reviewing entries for all reference lab testing, performing blood draws on patients, and performing various computer functions. Perform Customer Service | Exercise your customer
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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