53 computer-science-programming-languages-"CNPEM" Fellowship positions at University of Michigan
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into the design of a prototype implant to be tested in large animals. The Neural Engineering and Ophthalmology research environments are excellent. The Neural Engineering Training Program and the Vision Research
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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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tissue engineering approaches. The ideal candidate will have comprehensive knowledge and strong interest in pursuing musculoskeletal biology and/or microphysiological systems, with a willingness and track
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biology, sleep, or related fields. Curriculum Vitae: Include a list of publications with brief (1 paragraph) descriptions of your contributions to each published work. References: Provide names and contact
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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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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
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research group that integrates insights from psychology, cognitive science, economics, and related disciplines. Our research focuses on motivated preferences for information and the role of beliefs in social
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Apply Now Job Summary A clinical postdoctoral research fellow position is open in the newly formed Michigan Institute for Imaging Technology and Translation (MIITT) in the Department of Radiology
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for Social Research, the Medical School, the Michigan Institute for Data Science, The Institute of Health Policy and Innovation, and other research groups across campus. The start date is flexible; the
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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