85 machine-learning "https:" "https:" "https:" "https:" uni jobs at University of Michigan
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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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, 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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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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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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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
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audience and want to be part of the best public university in the country, MiWorkspace is for you. Who We Are ITS supports U-M faculty, researchers, staff, and students in their use of technology to teach
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will work around obstacles and confined spaces while troubleshooting and installing computer equipment. Staff will occasionally ascend and descend stairs and ladders. Must be able to travel or transfer
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moderately heavy items throughout the workday Previous experience in administrative support, shipping/receiving, warehousing, or office environments preferred Proficiency with basic computer applications
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deliveries Assist with use of automated unit dose dispensing machine (RobotRx) Prepare sterile products, injections and IV chemotherapy Retrieve medication orders from patient units Stock medications shelves
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use of automated unit dose dispensing machine (RobotRx) Prepare sterile products, injections and IV chemotherapy Retrieve medication orders from patient units Stock medications shelves, return excess