260 programming-"Multiple"-"Humboldt-Stiftung-Foundation"-"U.S"-"Prof" positions at University of Utah
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. Responsibilities • Event Management: Plan and lead partner events, including marketing activities, tailgates, and campus engagement. This includes setting up and taking down event spaces, with some heavy lifting
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profile among key stakeholders, including patients, donors, partners, and the broader community. Marketing · Develop and execute marketing strategies that promote clinical programs and services, driving
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strategies that promote clinical programs and services, driving patient engagement, referral growth, and community awareness. · Budget oversight and forecasting staffing and operating budget needed to fulfill
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, Instagram, BlueSky). Understanding of public radio and its mission and programs. Understanding of a nonprofit media environment and fundraising strategies. Ability to work effectively with multiple
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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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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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well as non- technical end users Demonstrated ability to meet deadlines, balance multiple priorities, and ensure quality standards based on an Agile development process. Applicants will be screened according
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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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science, information technology, informatics, and advanced analytics to transform, analyze, and interpret healthcare data from multiple environments across the nation and evaluate or create new data
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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