83 machine-learning "https:" "https:" "https:" "https:" "https:" uni jobs at University of Michigan
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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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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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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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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
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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 Required
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cover letter, attached as the first page of your resume, describing how your experience meets the job requirements of this posting, is required for consideration of this position. Please visit http
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, including applications of machine-learning to spatial and temporal time series data. Coordinate Center data collection efforts and team integration activities. Coordination of data collection efforts
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world through science and research by use of computational tools such as scientific computing, High Performance Computing (HPC), Big Data (Spark, DBMS), Machine Learning, cloud computing services (AWS