275 machine-learning "https:" "https:" "https:" "https:" "https:" uni jobs at University of Washington
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for additional benefits that may be available: https://faculty.uwmedicine.org/wp-content/uploads/2019/09/UWP-Benefits-Summary-for-recruitingef-edits-v3.pdf . Qualifications Applicants must have: MD or DO degree
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). Be willing to learn and utilize new MR imaging technologies to help educate and train research and clinical technologists/personnel. Consult and work with CCIR personnel to implement best practices
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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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, marketing photography in the current industry climate, and the production of cohesive multi-image personal projects. We are hiring an instructor to teach the second and third courses in the Photography
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to operate equipment such as autoclaves and tunnel or rack washers Basic computer skills to include sending and receiving emails, word processing (e.g., Word), and internet navigation Ability to learn
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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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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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for all reference lab testing, performing blood draws on patients, and performing various computer functions. Perform Customer Service | Exercise your customer service skills by responding promptly
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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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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