437 computer-science-intern "https:" "https:" "https:" "https:" uni jobs at University of Minnesota
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on development of novel data science methods to analyze biomedical big data for advancing health care. The Natural Language Processing / Information Extraction (NLP/IE) Program (https://healthinformatics.umn.edu
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campus. For those located in the metro area, a minimum of three days per week in the office is expected. Internal and external applicants located near other UMN system campuses and across the State
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Regular/Temporary Regular Job Code 9754I Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job Position Overview The Department of Family Social Science is hiring Adjunct
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, including faculty, researchers, SPA, sponsors, finance teams, internal and external collaborators, and team members. Development and Planning, 10% effort ● Participate in weekly SGC team planning meetings
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including but not limited to: student-athletes, International student reserved space programs, Community Advisors, and break housing. ● Coordinate application-contract yearly updates and changes
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event calendar, themes, and program objectives in collaboration with departmental leaders to balance operational capacities. Serve as the primary event point of contact for internal departments, community
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Required Qualifications: ● Bachelor's degree in Information Systems, Computer Science or other directly related field OR an equivalent combination of education and experience to equal four years. ● Working
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. Internal and external applicants located near other UMN system campuses and across the State of Minnesota may also be considered, and we encourage all interested candidates to apply. Occasional travel
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on the Biology of Aging and Metabolism - UMN Medical School The Spatialomics Scientific Lead provides scientific consultation, project coordination, and technical guidance for spatial biology projects across
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. CTSI is part of the national, NIH-funded Clinical Translational Science Award (CTSA) program/consortium that works together to improve the efficiency, quality, and impact of clinical and translational