120 structures-"https:" "https:" "https:" "https:" "https:" positions at University of Utah
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detail-oriented Data Entry Specialist to join our Enrollment Marketing team. This part-time position offers an opportunity to work closely with our marketing team and gain hands-on experience in structured
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facilities. Ensure compliance with all procedures, policies, and regulations, and ensure timely response to regulatory issues and inspection findings. Plan the team structure to accommodate growth and changes
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carpentry experience, including wood and metal scenic construction. · Proficiency with power tools, pneumatic tools, woodworking machinery, and welding. · Ability to read and interpret technical drawings and
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efficiently, stays aligned with priorities, and delivers measurable impact. As marketing activity continues to scale across the research enterprise, this position provides the operational structure and
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will develop practical skills in financial processes, documentation management, basic analysis, and operational workflows. The role also provides structured learning objectives and supervised access
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structures, performance standards, and scalable processes that support a growing research enterprise. Direct and manage the Pre-Award Office team, including recruitment, onboarding, training, mentoring
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production datasets that enable reporting, analytics, and ad-hoc analysis across the organization. Responsibilities include designing, building and maintaining data structures and refresh processes to ensure
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production datasets that enable reporting, analytics, and ad-hoc analysis across the organization. Responsibilities include designing, building and maintaining data structures and refresh processes to ensure
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helping maintain established processes and data structures, performing routine data checks, and ensuring consistency across datasets and reporting tools. Some projects will be completed independently, with
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helping maintain established processes and data structures, performing routine data checks, and ensuring consistency across datasets and reporting tools. Some projects will be completed independently, with