42 computational-physics-"https:"-"https:"-"https:"-"https:"-"CEA-Saclay"-"CEA-Saclay" Fellowship positions at University of Michigan
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process will consist of one or two 30-45 minutes interviews for select candidates. Additionally, further samples of relevant work may be requested. Job Summary The Taubman College of Architecture and Urban
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Date: August 15, 2026 (negotiable) Specialty Areas: Computational Linguistics, Language Acquisition, Cognitive Modeling, Machine Learning The Department of Linguistics at the University of Michigan
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radiological data, such as MR, CT and pathological images. Required Qualifications* The ideal candidate will have: A PhD degree in computer science, electrical or biomedical engineering, or medical physics
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that machine learning applications are developed with ethical considerations in mind. Participate in regular meetings with the research group. Required Qualifications* Ph.D. in Electrical Engineering, Computer
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* Doctoral degree in Kinesiology, Psychology, Computer Science, Biomechanical Engineering, or a related field. A high degree of proficiency using R, Python, and/or Matlab to process and analyze time-series
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, Lung and Blood Institute (NHLBI). This exciting program is designed to support research education for cardiac, thoracic, or general surgery residents. The program will offer laboratory and clinical
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research that together enhance our contribution to society. Job Summary The Gilbert S. Omenn Department of Computational and Bioinformatics is seeking a Research Fellow in the laboratory of Dr. Naoki Masuda
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research that together enhance our contribution to society. Job Summary The Au Lab in the Gilbert S. Omenn Department of Computational Medicine and Bioinformatics is seeking a Postdoc that will play a
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the Department of Surgery at the University of Michigan. This exciting new program is designed to support research education for general surgery residents interested in a career in abdominal transplant surgery or
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fragmented genomic data; Experience working with herbarium data; Strong bioinformatics skills; Strong biodiversity informatics skills; Knowledge of phylogenomics and population genetics; Knowledge of plant