43 phd-rehabilitation-engineering-computer-science Fellowship positions at University of Michigan
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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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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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computational linguistics are especially encouraged to apply. A PhD degree must be awarded before the start of the appointment. Responsibilities* The position, partially endowed by the Journal Language Learning
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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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programming is a plus. Required Qualifications* Ph.D. degree in biomedical engineering, medical physics, electrical engineering, computer science, neuroscience, or equivalent disciplines. Good written and
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faculty position Required Qualifications* PhD Degree in Engineering, Biology, Physiology, or a related field. Publication record reflective of either regenerative medicine-focused or mammalian synthetic
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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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. Follow and maintain laboratory protocols and procedures. Required Qualifications* PhD degree in Biomedical Engineering, Pathology, Bioinformatics, Electrical Engineering or a related field. At least 5
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, and computer support staff. Required Qualifications* PhD degree or equivalent in epidemiology, gerontology, sociology, or other relevant fields. Experience with analysis of large health science