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of conducting and directing basic science laboratory research. The work will involve contributions to a cartilage regeneration-oriented research program, specifically focused on using synthetic biology tools
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opportunities to work with other investigators from Michigan and Harvard. Required Qualifications* Ph.D. in Statistics, Mathematics, Biostatistics, and Computer Science. Strong computing skills using R, Python
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Master of Science degree in Health Services. Our proposed Core Program will provide trainees with rigorous scientific and biostatical training and expanded knowledge beyond their oftentimes narrow research
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expertise relates to this posting. Applications will be reviewed on a rolling basis until the position is filled. Job Summary The Department of Mechanical Engineering at the University of Michigan, in
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education, patient care, community service, research and technology development, and through leadership activities in Michigan, nationally and internationally. Our mission is guided by our Strategic
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the University of Michigan. This exiting new program is designed to support research education for surgery residents or postdoctoral scholars with an interest in organ transplant policy and outcomes. The program
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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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social science fieldwork, such as interviews or surveys Knowledge about data science and computational methods, such as network analysis Familiarity with natural hazards and public health risks associated
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. These will support a number of ongoing research projects related to computer-aided drug design and protein engineering. Experiments include protein expression, purification, assays, and solution-state protein
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. Required Qualifications* The successful candidate will have a doctoral degree in Epidemiology, Health Economics, Engineering, Applied Mathematics, Statistics, Computer Science or a related field. Modes of