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a possible extension for one more year. The starting date is November or December 2025. This post will advance the application of Machine Learning (ML) in weather forecasting and hydrological
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machine learning techniques for building efficient reduced-order models in the context of the numerical simulation of parameterized partial differential equations. The analysis of recent deep learning
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machine learning. We focus on inductive logic programming (ILP), which learns logical rules from data. We primarily use automated reasoning techniques, such as SAT/ASP/SMT/MaxSAT solvers, to learn rules
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application! We are looking for a PhD student for sustainable and resource-efficient machine learning. Your work assignments Machine learning has recently advanced through scaling model sizes, training budgets
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Intelligence (AI) and Machine Learning (ML) to provide leadership and vision in advancing research excellence. This is a unique opportunity to apply cutting-edge research to national priority areas, including
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Adjunct Lecturer, MBA MGMT655 Machine Learning for Decision Making, 2026 March Term - (2600000Q) Description A premier university in Asia, the Singapore Management University (SMU) is
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Are you interested in developing machine learning algorithms that provably help us make better decisions? Join us as a post-doc in the Division of Data Science and AI, Department of Computer Science
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Details Title Postdoctoral Research Fellow in Statistical Machine Learning and Biomedical AI School Harvard T.H. Chan School of Public Health Department/Area Biostatistics Position Description
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education in the United States. Connections working at Harvard University More Jobs from This Employer https://main.hercjobs.org/jobs/22077158/full-stack-machine-learning-engineer-x2f-data-scientist Return
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RAP opportunity at National Institute of Standards and Technology NIST Applications of Machine Learning/AI to Neutron Scattering Location NIST Center for Neutron Research opportunity location