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Academic Job Category Faculty Non Bargaining Job Title Postdoctoral Research Fellow Department Ogilvie Laboratory WHRI | School of Population and Public Health | Faculty of Medicine (Gina Ogilvie
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diagnosis of gas turbines. The project focuses on developing an integrated approach that combines machine learning techniques with physics-based models to estimate the health of various system components
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 4 days ago
For information on UNC Postdoctoral Benefits and Services click here Quick Link https://unc.peopleadmin.com/postings/314546 Posting Contact Information Department Contact Name and Title Courtney Lineman, HR
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Postdoctoral Associate in History of Art The Department of History of Art & Visual Studies at Cornell University (https://arthistory.cornell.edu) invites applications for a two-year Postdoctoral
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the discipline of bioinformatics, data analysis of large-scale (bio)medical data, applications of artificial intelligence and machine learning. You contribute to high-quality teaching in bachelor and master years
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Postdoctoral Associate to begin July 1, 2026. The one-year term position is renewable for an additional year based on performance and is part of Cornell’s Active Learning Initiative . This initiative supports
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-body quantum geometry; altermagnetism; cavity quantum science; quantum non-equilibrium processes; Casimir physics , Non-equilibrium quantum physics , Physics-informed machine learning , Quantum chaos
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. graduates and doctoral candidates nearing graduation who have research interests in applied statistics, machine learning, or computational biology to apply for our postdoctoral fellows program. Located in
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opportunities, benefits, community events, and other resources available via the office of Graduate and Postdoctoral Success at BU: https://www.bu.edu/postdocs/ Skills and qualifications A PhD in epidemiology
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. The project focuses on developing an integrated approach that combines machine learning techniques with physics-based models to estimate the health of various system components. The aim is that fault diagnosis