42 Computer Science Fellowship research jobs at University of Michigan in united-state
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COHSE faculty member. Summary The University of Michigan Center for Occupational Health and Safety Engineering (COHSE) is seeking to recruit an outstanding post-doctoral fellow under the mentorship
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ethnic backgrounds, gender expression and sexuality, physical and mental ability, or socioeconomic status. Open Science: Report results in an open, transparent, and accessible manner. This includes
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for scientific meetings and/or grant submissions. Provides other support to the program as directed. Required Qualifications* Education: Must possess either a Ph.D in biological or related sciences field, or a
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-aided diagnosis, automated tumor localization, and personalized treatment recommendations. Our team aims to translate the latest advances in AI, machine learning, and computer science to improve
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development, and through leadership activities in Michigan, nationally and internationally. Our mission is guided by our Strategic Principles and has three critical components; patient care, education and
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aspects of the research program and supervise team members and students in project implementation. Adherence to laboratory regulatory policies and training compliance is essential. This individual must also
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Program Manager leads career and professional development programs and services for postdoctoral research fellows at the Office of Postdoctoral Affairs (OPA). This position will collaborate and liaise with
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The Tenuta Lab at the University of Michigan seeks exceptional applicants to join a vibrant research program focusing on developing new generation therapies for dental caries. Strong focus on biofilm microbial
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science research institution in the world. This interdisciplinary community includes researchers from sociology, anthropology, economics, psychology, information and computer science, statistics, geography
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, computational and statistical genetic and bioinformatic methods implementation; vascular biology research using in vitro and in vivo models of cardiovascular diseases, particularly those that disproportionately