500 data-"https:" "https:" "https:" "https:" "https:" positions at Duke University in United States
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partnership with DKU-iMEP and NSOE/SSPP career teams. Ensure accurate registration data, schedules, enrollment, bulletin listings, and grades; resolve discrepancies. Collaborate with Faculty Lead on execution
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, data gathering, and analysis for research projects. · Co-author manuscripts for publication. · Participate in the implementation of research grants as needed. · Participate in the development of new
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, data gathering, and analysis for research projects. · Co-author manuscripts for publication. · Participate in the implementation of research grants as needed. · Participate in the development of new
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defining timelines, managing stakeholders, and evaluating outcomes. Synthesize data and prepare reports or presentations for institutional use. Coordinate stakeholder engagement and communications across
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provides comprehensive and competitive medical and dental care programs, generous retirement benefits, and a wide array of family-friendly and cultural programs to eligible team members. Learn more at: https
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discover how we can advance health together. Duke Health Integrated Practice https://careers.dukehealth.org/us/en/dhip Duke Health Integrated Practice comprises more than 110 primary and specialty outpatient
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to an individual's age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex, sexual orientation, or veteran status. Duke aspires to create a
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transform data for the future of healthcare! As a Clinical Implementation Lead, you’ll transform data into actionable insights, launch innovative population health programs, and collaborate across clinical
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. For more information, please visit https://hr.duke.edu/policies/ada/ Duke is an Equal Opportunity Employer committed to providing employment opportunity without regard to an individual's age, color
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cultured cells and animal models of skin diseases. Work Performed • Development of new and implementation and modification of existing experimental procedures. • Data preparation for oral presentations