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. Home to more than 50,000 students, 11,000 faculty and staff and 340,000 alumni, UC combines a Top 35 public research university with a physical setting The New York Times calls “the most ambitious campus
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of Anesthesiology and Perioperative Medicine. This position will map physical and functional circuitry for chronic pain using Patch-seq, snRNA-seq, multi-patch recording, TRAP2, neuroanatomy virus tracing, opto
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, with strong quantitative skills. A track record of peer-reviewed publication of scholarly work related to PhD thesis, or in process. Individual must be highly sensitive to human subjects and confidential
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that are physiologically important for a healthy immune system. We are interested in the next generation of therapeutics that will be personalized and only target the original disease process. Such treatments can only be
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’ research and in complex cases. • Record, compile, process and analyze data/samples. • Document results and observations in writing as well as presenting results to others. • Prepare research results
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or research career. In the process of further developing their own research skills, it is expected that Postdoctoral Fellows will also play a significant role in the performance of research at the University
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other U-M campuses. Application Deadline Job openings are posted for a minimum of seven calendar days. The review and selection process may begin as early as the eighth day after posting. This opening
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differentiable programming and physics informed machine learning (Graph Neural Networks and Neural Operators) for solving inverse and optimization problems. Develop AI-accelerated numerical methods for identifying
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interest in furthering their expertise and publications in the area of policy impacts on disparities Experience in using non-experimental/quasi-experimental methods (DiD, CITS, IV, RD, etc) Physical
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or undergraduate students. Other duties as assigned. What is Required: Ph.D. in Nuclear Physics/Chemistry/Engineering or a related discipline obtained within the last three years. In-depth knowledge of gamma-ray