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materials and technologies. Using advanced computational modeling and machine learning, we seek to elucidate the mechanisms governing the self-assembly of lignin in different solvents and the formation
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development, and publication in peer-reviewed venues. Strong background in machine learning, with research experience in deep learning, foundation models, or related areas. Solid programming ability in Python
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focus on delivering quality teaching and learning and a campus-wide focus on providing a sector-leading student experience. As a culturally rich university with a deep commitment to the public good
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want to hear from you! Your Job: Work on a wide range of computer vision and machine learning methods and applications focusing on the aspects outlined above, inspired by the needs of societally relevant
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LEARNING TECHNOLOGIES ACCESSIBILTY SPECIALIST - (T232321) Description The University of Alabama at Birmingham (UAB) seeks a highly skilled individual in digital accessibility in course materials to
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 4 hours ago
). Revisiting Ionosphere-Thermosphere Responses to Solar Wind Driving in Superstorms of November 2003 and 2004. J. Geophys. Res., 122. https://doi.org/10.1002/2017JA024542 . 2. McGranaghan, R. M., A. J. Mannucci
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, Reasoning and Validation (Serval) research group and work on a research project related to the application of machine learning for official statistics. The subject of the thesis will be “Exploring Large
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improvements in machine learning (ML) applications now allow researchers without extensive programming backgrounds to implement advanced image-processing techniques using accessible programming languages and
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Machine Learning Quantum Phase Transitions via Topology- and Symmetry-aware AI School of Mathematical and Physical Sciences PhD Research Project Competition Funded UK Students Dr Marco Fazzi
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Title: Student Services Coordinator - Learning Specialist Employee Classification: Student Services Coordinator Campus: University of North Texas - Health Science Center Division: HSC-Provost & Exec