37 parallel-computing-numerical-methods Fellowship positions at University of Michigan
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the United States and the world. We embrace diversity in many forms. We champion diversity of thought and culture. Because we operate numerous health clinics we support an incredible diversity of IT systems. Our core
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Apply Now Job Summary The Inclusive History Project (IHP)-Dearborn Program is looking for a Research Fellow to join our team. The IHP is a multi-year presidential initiative studying and documenting
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. Additionally, the candidate should have strong qualitative research skills and be familiar with quantitative methods. Research responsibilities will include designing a study, collecting and analyzing data
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methods, and the social and contextual factors that shape health and contribute to health inequities. The successful candidate will have the opportunity to develop a mentored research agenda while
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Genetics in the laboratory of Dr. Steve Parker in the Departments of Computational Medicine & Bioinformatics, Human Genetics, and Biostatistics at the University of Michigan (http://theparkerlab.org ). We
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Apply Now Job Summary This is a mentored post-doctoral position for a new investigator on a career development path directed toward establishing an independent research program. The incumbent will
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and/or AMPK signaling in skeletal muscle. The laboratory group has extensive expertise in a variety of methods for rigorous study of glucose uptake and signaling in rodent skeletal muscle, including
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research projects in computer vision, machine learning, AI, and robotics. Projects may include physically-grounded AI guidance agents, modeling of multimodal data, and generative AI systems for situated
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Qualifications* Applicants should have a medical degree (M.D., M.B.B.S., or equivalent. Translational projects will require the postdoctoral fellow to work with faculty to plan study methods, draft IRB protocols
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conditions and policy outcomes. Desired areas of expertise include: dynamic and complex systems, agent-based modeling, computer programming (familiarity with R, Python, Netlogo), statistical analysis