1,785 parallel-computing-numerical-methods uni jobs at University of Michigan in United States
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Apply Now Mission Statement Michigan Medicine improves the health of patients, populations and communities through excellence in education, patient care, community service, research and technology development, and through leadership activities in Michigan, nationally and internationally. Our...
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responsibility and principled entrepreneurship is fostered. The Admissions Program Coordinator (Communications) will play a vital role in the recruitment and enrollment of students at the University of Michigan
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fit with this position. Please include your University Department/Program affiliation and year in graduate studies. Job Summary The Rackham Development and Alumni Relations (DAR) team seeks one (1
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dedicated to excellence through research and teaching. Our Undergraduate Program Coordinator is a critical member of the administrative team and is integral to our success. The person in this role provides a
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. Reliable, highly organized and detail oriented with excellent time management skills. Experience with using Windows-based computer programs and Google suite applications; proficient and comfortable with
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of Student Life. Position Summary: The Program Manager - Group-X reports to the Assistant Director - Group-X and Wellness Education. You will coordinate programs and events to improve the health and well-being
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. The Solid Organ Transplant Program Manager is responsible for managing the administrative systems and operational activities of assigned Transplant Center Solid Organ Transplant Programs. This includes
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to exclusively manage coding, data processing, and analytical responsibilities associated with Projects 1a-1c. The successful candidate will leverage advanced computational methods, including Large Language Models
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support the emergency department to improve patient care. MEDIC is part of a family of projects called Collaborative Quality Initiatives (CQIs) within the Value Partnerships program (http
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interpret analyses for applied epigenetic, social, and genetic epidemiology. Full knowledge of all methods, measures, and data is not necessary, but experience using omic data in a high-performance computing