758 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "https:" "https:" positions at University of Minnesota
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instructors across degree programs. Applications will be reviewed when openings occur throughout the academic year/summer. Pay and Benefits Pay Range: $1,675 per credit hour Retirement plan options
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level. We seek scientists working in medical mycology who will establish a competitive research program that focuses on emerging fungal pathogens; evolution of fungal pathogens and the relationship to
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serving as a resource to guests by providing accurate and current information regarding athletic programs and facilities, classes, team and event schedules. 2. Monitor who enters the building. Not allowing
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understand white-tailed deer movement, habitat use, and disease dynamics at the suburban/agricultural interface (https://www.targetedsurveillance.com/ ). Duties include (but are not limited to) setting and
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. Job duties Container research activities and oversight – 75% Plan, prepare, and procure container farm cropping and operating supplies Plant seeds in specialized hydroponic grow sponges Transplant
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biophysical environmental science research projects and programs, including the Minneapolis-St. Paul Long-Term Ecological Research Program (MSP LTER) led by the University of Minnesota. The Community-Engaged
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, please visit https://med.umn.edu/psychiatry . Pay and Benefits Pay Range: $28.67/hr - $29.33/hr; depending on education/qualifications/experience. Retirement plan options are available for Civil Service
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program by running reports, reviewing transactions, and providing analysis and recommendations for training or procedural improvements. ● In collaboration with FinOps leadership team, designs and delivers
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. Facilities Management strives to foster and maintain an environment of inclusiveness and respect on the UMD campus. All staff are expected to support Goal 2 of the campus strategic plan, which states, "Create
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, or machine learning. Strong programming skills, preferably in Python. Familiarity with modern computer vision or deep learning frameworks. About the Department The Department of Neuroscience is committed