44 assistant-professor-computer-science Fellowship positions at University of Michigan
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, involves teaching two courses per year and continuing an innovative research program. Strong consideration will be given to applicants who can develop and teach introductory and upper level courses to help
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largest academic social science research institution in the world. This interdisciplinary community includes researchers from sociology, anthropology, economics, psychology, information and computer science
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how the opportunity will help you develop personally and professionally. Responses should be limited to 500 words or less. b) A written statement that addresses one (1) of the following prompts
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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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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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your current graduate or clinical residency training program. Graduate-level academic transcripts (unofficial is acceptable) Two writing samples, preferably a copy of a previously published manuscript(s
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?an Assistant Professor in Pathology & Urology in the Michigan medical school. The candidate will be provided thorough training in all tasks required as part of the job and will be involved in collaborative and
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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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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