955 programming-"IMPRS-ML"-"IMPRS-ML"-"IMPRS-ML" positions at University of Minnesota in United States
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critical support to the University of Minnesota Extension on food safety and that will support Extension in developing and implementing food safety programming supporting the needs of the food industry and
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Coach in all facets of the program, including organization, administration, and promotion of a competitive NCAA Division I softball program in the Big Ten Conference. Primary Responsibilities Coaching
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Synthesize background data and current best practices Provide expertise to the prehospital care improvement team Collaboratively develop a pilot program for a regional prehospital care coordinating center
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with other programs as assigned to create video and motion graphics content for Gopher Athletics. Position Responsibilities and Duties: 50% - Contribute as an individual creative Collect video and audio
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Regular Job Code 8413IE Employee Class Civil Service Add to My Favorite Jobs Email this Job About the Job The Farm at the Arb Culinary Program Lead at the Minnesota Landscape Arboretum is responsible
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performance through its programs in kinesiology, recreation and leisure students, and sport studies. The degree programs in the School prepare students for a variety of professional opportunities in both
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does not offer a STEM OPT training program. The University of Minnesota is committed to fostering local talent through employment opportunities. While this position utilizes a remote modality
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Services Specialist. This dynamic role is responsible for providing administrative support in the Center’s Student Services and Academic Programs area. This individual is the first point of contact
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by a University Police Department. ● Competitive benefits include a tuition reimbursement program that covers 100% of the tuition cost for eligible employees pursuing their first baccalaureate degree
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skills in R programming - Working knowledge of Python - Experience with basic analyses to characterize gut microbiomes, including diversity analysis, differential abundance analysis, modeling microbial and