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Internal Number: 1038335 Working/Functional Title CAPS Associate/Clinical Director Position Summary Michigan State University is seeking a dedicated and experienced Associate Director of Integrated Clinical
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opponents, including overseeing contracts, requests and online transfers. Works with Catapult Thunder with the ongoing development of the football digital video system and in the evaluation and development
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athletic trainers, team physicians and psychiatrists. Develop mental health programs and services that promote diversity, equity, and inclusion Completes University requirements, including POE, Title IX, and
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pressures, pulse rates, respirations, weights and heights. Prepares equipment/supplies and cleans examination rooms in order to prepare for patient examinations. Verifies insurance coverage and authorizations
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sites. The candidate will take a lead role in directing existing research projects and developing PFAS grant proposals. For this purpose, the candidate should have a hydrogeology research background and
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Internal Number: 1038184 Position Summary Develops, plans, coordinates, and manages the daily administrative operations and event activities within the Dean's Suite of the College of Engineering. Maintains
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proficiency, strong pedagogical skills, and a commitment to student development in a one-on-one instructional setting. Equal Employment Opportunity Statement All qualified applicants will receive consideration
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The Department of Chemistry (www.chemistry.msu.edu ) in the College of Natural Science at Michigan State University seeks two outstanding candidates for a fixed-term, 9-month academic-specialist position for our
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initiatives through their expertise are particularly encouraged to apply. Applicants for these positions are expected to strengthen our university and partner health systems research with a focus on population
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for strategically designing, developing, and implementing a data integration hub to facilitate seamless data exchange across various systems. This role involves creating dimensional data models for enterprise-level