51 phd-rehabilitation-engineering-computer-science Fellowship positions at University of Michigan
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that machine learning applications are developed with ethical considerations in mind. Participate in regular meetings with the research group. Required Qualifications* Ph.D. in Electrical Engineering, Computer
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are looking for an organized individual, comfortable working collaboratively with other disciplines and large teams (i.e. engineering, design, bioengineering, environmental science, landscape architecture
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participate in a productive research team. Required Qualifications* PhD in a related science area such as epidemiology, biostatistics, neuroscience, cognitive science, psychology, neuropsychology, neurology
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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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analysis. Required Qualifications* A PhD in hydrology, water resources engineering, environmental science, civil engineering, atmospheric sciences, computer science, or a related field is required either
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the health of patients, populations and communities through excellence in education, patient care, community service, research and technology development, and through leadership activities in Michigan
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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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program for up to two years in which they will acquire core skills in research methods including analytic skill development, grant and manuscript writing, and project management through a combination of
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components; patient care, education and research that together enhance our contribution to society. Required Qualifications* PhD in bioinformatics, computational biology, systems biology, statistics, physics
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Qualifications* PhD in Computer Science or Engineering, Biomedical Engineering, Neuroscience, Bioinformatics, or other relevant field. Experience with machine learning and statistical analyses. Proficiency with