39 proof-checking-postdoc-computer-science-logic Fellowship positions at University of Michigan
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be asked to submit letters directly through Interfolio. The recommendation letters should address the scholarly promise of the research program and the applicant's teaching skills. A curriculum vitae
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social science fieldwork, such as interviews or surveys Knowledge about data science and computational methods, such as network analysis Familiarity with natural hazards and public health risks associated
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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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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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opportunities to work with other investigators from Michigan and Harvard. Required Qualifications* Ph.D. in Statistics, Mathematics, Biostatistics, and Computer Science. Strong computing skills using R, Python
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molecular biology topics, including neurodevelopment and neurodegeneration, glial biology and bioinformatics. Using a combination of single-cell omics and genetic tools, we particularly focus on exploring
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expertise relates to this posting. Applications will be reviewed on a rolling basis until the position is filled. Job Summary The Department of Mechanical Engineering at the University of Michigan, in
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education, patient care, community service, research and technology development, and through leadership activities in Michigan, nationally and internationally. Our mission is guided by our Strategic
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smoke. The successful candidate will join an interdisciplinary working group of faculty, students, and postdocs studying human and ecosystem adaptation to wildfire risk using an integrated social
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. These will support a number of ongoing research projects related to computer-aided drug design and protein engineering. Experiments include protein expression, purification, assays, and solution-state protein