48 phd-rehabilitation-engineering-computer-science Fellowship positions at University of Michigan
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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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of Orthopaedic Surgery is conducted by a diverse group of faculty, staff and trainees with expertise in biology, engineering, health outcomes, and healthcare. Our research teams are focused on improving treatment
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optical cavities, lasers, or long-range sensing. The Limbach group in the Department of Aerospace Engineering at UM performs research at the intersection of optical science, sensing, and aerospace
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or professional degree graduates or junior postdoctoral trainees in an engineering, life sciences, physical sciences or a related field. A PhD or professional degree must be granted prior to starting the fellowship
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research that together enhance our contribution to society. Required Qualifications* PhD in computer science, engineering, applied mathematics, statistical physics, biology, or a related field. Reasonable
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to society. Required Qualifications* PhD in applied mathematics including mathematical biology, computer science, engineering, statistical physics, biology, or a related field. Reasonable communication skills
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to these research goals and interests. The ideal candidate for this position would have a Ph.D. in Robotics and Engineering. The candidate should have substantial experience in human subjects experiments, and
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* Qualified applicants must have a PhD degree in biology, Life Sciences, Chemistry, Biomedical Engineering, or a related field. They should also have at least 5 years of experience conducting laboratory-based
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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
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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