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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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the application of these methods to problems in the physics of oxides, semiconductors, metals and their surfaces. Machine learning methods are used to close the complexity gap. Currently, the group consists
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be involved in the three-year project “High Dimensional Hierarchical Optimization methods for Machine Learning and Stochastic Optimal Control”. Background or expertise in one or more of the following
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 24-Feb-26 Location: Brooklyn, NY Categories: Academic/Faculty Internal Number: 182085 POSTDOCTORAL ASSOCIATE New York
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human and artificial intelligence to improve learning and well-being. Knowledge and experience in human-centered intelligent system design, learning analytics, AI in education, and/or machine learning
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seeking a postdoctoral candidate in the area of federated learning and wireless communications. The candidate must hold (or about to complete) a PhD in the related fields. The candidate will be involved in
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 21 hours ago
should have a strong background in data science, machine learning, remote sensing, wildfire science, or a related field. Experience with deep learning frameworks, satellite observations (e.g., Sentinel
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Position Details Position Information Recruitment/Posting Title Postdoctoral Associate Department Biochemistry & Microbiology Salary Details 63,968 Offer Information The final salary offer may be
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Position Details Position Information Recruitment/Posting Title Postdoctoral Associate Department Biochemistry & Microbiology Salary Details 63,968 Offer Information The final salary offer may be
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. Additional background in renewable energy, surface science, catalysis, and/or machine learning. Strong programming skills in Python and some exposure to machine learning. Ph.D. in Materials Science, Physics