48 postdoc-in-thermal-network-of-the-physical-building Fellowship positions at University of Michigan
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of innovative hardware solutions, including harmonic mitigation and thermal optimization. The role offers an excellent opportunity to work alongside interdisciplinary teams and industry partners, and to
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with assistance providers Analyze data with qualitative and/or quantitative methods Write and submit one manuscript to a scholarly journal per postdoc year Make one paper presentation at a professional
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research environment. Who We Are Michigan Engineers are world-class educators, researchers, students and staff who strive to build a people-first future. As part of a top national public research institution
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Report and Rankings. We have a thriving body of 42 faculty, 9 postdocs, 273 students, and 123 research and administrative staff members and close ties with the Department of Statistics, the Institute
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over 56,000 square foot of dedicated, state-of-the-art facilities. BI provides some of the most diverse research environments at U-M. Many grad students, postdocs, visiting scholars from various
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for any reason, throughout the course of employment. Learn more about the work modes . Additional Information One-year postdoc with option to renew. Background Screening Michigan Medicine conducts
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facilities at the University of Michigan, including advanced imaging, genomics, and proteomics cores. Support to present your research at national and international conferences and build a professional network
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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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. The review and selection process may begin as early as the eighth day after posting. This opening may be removed from posting boards and filled any time after the minimum posting period has ended. Job Summary
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Medicine and Bioinformatics. The specific objectives of the project are to (i) deploy network analysis methods to genomic data (50%), and (ii) develop such algorithms including community detection algorithms