253 programming-"Multiple"-"Prof"-"Embry-Riddle-Aeronautical-University"-"U.S"-"O.P" positions at University of Utah
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visits made by sponsors or federal agencies during course and at the close of the study. 6. Represents the research program at meetings, national and international research consortia. 7. Prepares, submits
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Summary The University of Utah Advancement Team is seeking a skilled and detail-driven Event Manager to help plan and execute impactful events that advance the University’s mission of engagement
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visits made by sponsors or federal agencies during course and at the close of the study. 6. Represents the research program at meetings, national and international research consortia. 7. Prepares, submits
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visits made by sponsors or federal agencies during course and at the close of the study. 6. Represents the research program at meetings, national and international research consortia. 7. Prepares, submits
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will be joining a dynamic team led by an Interim Director of IT. The successful candidate will be able to perform duties across multiple areas of information technology, such as computer hardware, server
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than one research network and/or research project. Projects include pediatric emergency department trials funded by the PECARN Network (www.pecarn.org), the Network of Pediatric Multiple Sclerosis Centers
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prioritizing tasks and managing multiple responsibilities simultaneously to maintain efficiency and focus. Consistently honors commitments and meets deadlines, ensuring reliability and accountability
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Job Code? No Standard Hours per Week 40 Full Time or Part Time? Full Time Shift Day Work Schedule Summary VP Area Academic Affairs Department 00158 - Coll of Architect & Plan-Dean Location Campus City
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analysis. Interprets results from multiple sources using a variety of techniques, ranging from simple data aggregation via statistical analysis to complex data mining independently. Responsibilities Designs
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complex big data analysis. Interprets results from multiple sources using a variety of techniques, ranging from simple data aggregation via statistical analysis to complex data mining independently