587 data-"https:" "https:" "https:" "https:" "https:" uni jobs at University of Minnesota
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for registering with the DRC, assessing where to direct novel inquiries, composing and sending out correspondences and information, communicating with other university departments and the general public regarding
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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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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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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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Regular Job Code 2226 Employee Class Student Insurance Eligible Add to My Favorite Jobs Email this Job About the Job Job description: 90% - Field Data Collection, data processing and sensor deployment
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evaluation methods including surveys, key informant interviews and other methods to define and explore evaluation questions and topics. Along with other team members, develop a plan for data analysis and
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/Temporary Regular Job Code 8342CG Employee Class Civil Service Add to My Favorite Jobs Email this Job About the Job Application review will begin on 2/6/2026 Profile: Detail-oriented and data-driven
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of land use and cropping activities using digital logs and GIS (geographic information systems) Equipment and Facility Management – Plant Science Department (15%) ● Oversee equipment and facilities directly
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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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available for each audit engagement. This will include: Collecting background material needed through a variety of mechanisms including interviews and data queries for defining the scope of planned audits