879 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" "Univ" positions at University of Colorado in United States
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subject’s medical history and current medication information, reviews research protocol inclusion/exclusion criteria, and confirms eligibility of subject to participate in clinical trial Perform informed
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, and biobank storage. · Perform bench experiments intermittently (i.e ELISA, PCR, etc.), and preparing specimens for core services. Data & Inventory Management (40%) · Maintain accurate
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Analyst to lead our analytics and drive data-driven decision-making across the school and campus. The ideal candidate will possess a deep understanding of business processes, exceptional analytical skills
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System Administration . Position Summary: University Information Systems (UIS) provides enterprise services to the University of Colorado’s (CU) four campuses and enables technologies to the Office of
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, collaborates closely with faculty, trainees, and institutional partners, and ensures high-quality data collection, analysis, and dissemination. The position emphasizes consultation, project tracking, and applied
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requires discretion, sound judgment, and the ability to analyze and communicate financial data clearly. Duties are performed with guidance from senior business professionals and leadership. This one-year
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review information about a candidate's conduct at their previous institutions, specifically conduct related to sexual misconduct, harassment, and/or discrimination – before making hiring decisions. All
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Foundation. We support CU’s fundraising and engagement goals through advancement operations that include constituent research and development, data management, business intelligence, technical architecture
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the receipt, management, and distribution of tickets and related materials. Athletic Attendance Tracking: Manages the tracking of regent attendance and logistics information for all university athletic events
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maintain updated task lists for ongoing projects. Help prepare figures, data summaries, or data quality checks for presentations, grant reports, or collaborations (as appropriate to skill level). Occasional