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of epidemiology and fits within an epidemiology department. Statement of Teaching Philosophy and Experience: Outline your teaching approach, relevant experience, and any courses you are interested in teaching (1-2
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Michigan Public Health Integrated Center for Outbreak Analytics and Modeling (MICOM) housed in the Department of Epidemiology at the University of Michigan School of Public Health is seeking an independent
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Response (MCRVRR) is seeking a dependable and highly organized temporary Clinical Research Assistant: Epidemiology Enrollment Specialist to support one of several respiratory virus research studies
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an exciting and cutting-edge large birth cohort study at the University of Michigan. Join our dynamic and interdisciplinary team of experts in Allergy, Immunology, Epidemiology, and Genetics as we investigate
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will play an important role in research development and implementation, data collection and organization, and data analysis, particularly in the context of causal inference in epidemiological research
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, Clinical Research Administration, Social Work, Psychology, Epidemiology, Foreign MD. Minimum 3 years of human subject experience (clinical, lab or health regulations) such as related patient care, related
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, epidemiology or related field with extensive exposure to data analysis. Bachelor's degree with at least five years of analytic experience may be considered. Experience in data management and statistical analysis
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biology, engineering, epidemiology, health outcomes and healthcare. Collaborative research programs are focused on improving treatment or preventing musculoskeletal disorders and disease. The research
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, epidemiology, chemistry, or biology (broadly defined) with significant wet lab experience, including molecular methods; Willingness to work as part of a team. Desired Qualifications* Experience working with
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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