754 data-"https:" "https:" "https:" "https:" "https:" "https:" "Here We Are" positions at University of Minnesota
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sponsorship. *Duties/responsibilities -performing high level experimental, theoretical, and numerical research and data analysis (55%) -presentation publication, and proposal preparation (20%) -mentoring PhD
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within an office setting and/or a position that involves comparing, verifying and reconciling data to help the department achieve overall objectives. Skills: Strong interpersonal skills -written and verbal
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: Procurement and Sourcing (30%) ● Purchase goods and services for district staff in compliance with UMNs competitive purchasing requirements. ● Research and identify potential suppliers and vendors, manage data
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orientation, gender identity, or gender expression. To learn more about diversity at the U: http://diversity.umn.edu Employment Requirements Any offer of employment is contingent upon the successful
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research teams to develop experimental methodologies, implementing engineering solutions for precise data collection, and documenting outcomes for stakeholder review. Operational Excellence & Training (30
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Strong written and verbal communication skills, including computer proficiency in a PC environment with Microsoft Office products. Preferred qualifications: Clinical Research Coordination certification
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of clinical research data collection, study documentation, protocol-required procedure execution, and collaboration with PI and study team to ensure consistent and accurate implementation of the protocol
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of Human Resources website for more information regarding benefit eligibility. The University offers a comprehensive benefits package that includes: Competitive wages, paid holidays, and generous
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Natural Resource Sciences, the College of Science and Engineering, the School of Public Health, the Hormel Institute, and the Forever Green Initiative. For more information about faculty members, programs
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Regular Job Code 0001 Employee Class Civil Service Add to My Favorite Jobs Email this Job About the Job Job description: 90% - Field Data Collection, data processing and sensor deployment at both a karst