89 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" positions at University of Michigan
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, custom .NET systems). Required Qualifications* B.S. in Computer Engineering 10+ years of experience in solutions architecture, enterprise system design, and modernization of federally funded systems
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, researchers, staff, and students in their use of technology to teach, learn, research, and work, and be leaders in their fields. We are dedicated to creating cohesive digital experiences and promoting
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team works with all the center's teams to help enhance the center's awareness and reputation, lead enrollments in online learning experiences, lead user experience and product design, and conduct market
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development and factors influencing overall health and well-being (https://www.youthshape.us/ ). Your efforts will contribute to the development of products designed specifically for children, such as clothing
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. To learn more, visit: https://its.umich.edu . Who You Are You are energized by working with a collaborative team and industry peers to support the university mission through innovative and appropriate use
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other designated official. SUPERVISION EXCERCISED Pharmacy trainees and/or learners For more information about the UMHS Department of Pharmacy Services, see our annual report at: https://www.medi
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offered as able to support the pursuit of full clinical licensure. We are committed to building a culturally humble staff who can serve the needs of our diverse student body. To learn more about the
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production and cost goals on complex surveys, requiring use of computer-assisted data collection technologies by telephone. In addition, the SSL implements mail survey operations, coding, and quality control
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pharmacy technician license before the temporary license expires. One or more years of relevant pharmacy experience. Proficient communication, computer and basic mathematic skills. This position requires
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science and technology innovation, higher education, economic and/or workforce development for non-academic audiences Familiarity with graph and/or semantic machine learning models and techniques, network