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. This is an advanced clinical training program beginning February 3, 2026, and ending February 2, 2027, with an opportunity to extend for a second year. The mission of this Post-MSW graduate training program
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for recommenders Job market paper Job Summary Professors Amanda Kowalski (University of Michigan) and David Chan (UC Berkeley) are recruiting one or more Postdoctoral Research Fellows in Health Economics and Applied
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Qualifications* PhD Degree in Engineering, Computer Science, Data Science, Applied Mathematics, Statistics, or a related field Familiarity with (biomedical) signal processing Experience working with clinical data
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candidates will have an MD and/or PhD in genetics, molecular biology, neuroscience, or a related biomedical science field. Mission Statement Michigan Medicine improves the health of patients, populations and
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information from electronic health records Conduct systems biology research and analysis for high dimensional data Required Qualifications* PhD degree or higher in computer science, biomedical informatics
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one from your current graduate or clinical residency training program. Graduate-level academic transcripts (unofficial is acceptable) Two writing samples, preferably a copy of a previously published
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neuroanatomical, neuroimaging, computational, and behavioral genetic approaches to understand the cellular and physiological pathways that modulate aging and multiple disease risks in mammals. The Kaczorowski Lab
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excellence in education, patient care, community service, research and technology development, and through leadership activities in Michigan, nationally and internationally. Our mission is guided by our
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years of research experience in biology or a related discipline. Publication record demonstrating computational skills in image processing or genomic data analysis. Proficiency in rodent neurosurgeries
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science, analytics, and human insight. This one-year fellowship is designed to cultivate teaching and research experience in decision sciences, with a focus on medication management. What You'll Do