344 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"Simons-Foundation" Fellowship positions in United States
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control, numerical analysis and scientific computing risk-averse and fractional models, digital twins and data-assimilating models, machine learning and neural networks (including operator learning and
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in the following areas: Deep Learning, Scientific Machine Learning, Stochastjc Gradiant Descent Method, and Numerical PDE’s - Advised by Dr. Yanzhao Cao Probabilistic Graph Theory (Network Traversal
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seeds. This research will help to unravel key indicators of biological relevance during seed quality testing procedures and contribute to a healthy national and international seed trade economy. Learning
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to the continent, and sub-daily to evolutionary time scales. One of the goals of the SCINet Initiative is to develop and apply new technologies, including artificial intelligence (AI) and machine learning, to help
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About the Opportunity Khoury College of Computer Sciences is looking for a Distinguished Research Fellow. Responsibilities: The Distinguished Research Fellow will be expected to start-up their own
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such as: Causal inference and the design and analysis of experiments Reinforcement learning and sequential decision-making Analysis of complex systems, networks, and large-scale data Machine learning
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Fellow will help mentor undergraduate students, work with Center for Health Research staff and will have the opportunity to teach classes by separate assignment as a part-time lecturer. This position will
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the devastating disease avian coccidiosis. The secondary goal is to compare various Eimeria spp. to identify genes involved in intestinal cell specificity, virulence, and markers of drug resistance. Learning
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. Mentorship will include advancement in time motion and management of a practice. Fellows will learn to work with and lead the entire dental team while providing services to patients with a variety of needs
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of the opportunity involve various outdoor conditions requiring moderate exertion and traversing the landscape of the MEF. Additionally, the fellow will experientially learn about and participate in the Forest Service