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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
continue to be a leader in science innovation and the application of knowledge. APS has united numerous scientific entities on campus to further its mission of finding interdisciplinary solutions to real
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modelling and numerical relativity. The group comprises PI Alicia Sintes, a further ten faculty members and a large number of post-doctoral researchers and PhD students. The group is a member of the IAC3
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, modelling, fabrication, prototyping, measurements or experimental validation. Additional merits include machine learning, optimization, signal processing, numerical acoustic simulation (for example FEM/BEM
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systematically linking experimental and literature-based biological insight with advanced numerical methods, the hope is to provide a toolbox of well-grounded models and design primitives that can be used
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Associate I, Steward Observatory Posting Number req26390 Department Steward Observatory Department Website Link https://astro.arizona.edu Location Tucson Campus Address Tucson, AZ USA Position Highlights
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
of reinforcement learning and bandit algorithms Mathematical and algorithmic perspectives on large language models Statistical learning theory and complexity analysis Automated theorem proving and formal methods
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
. We consist of 49 tenure-track faculty, 12 teaching faculty, 4 research faculty, and numerous active adjunct and emeritus faculty who are engaged in basic and interdisciplinary research and teaching
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. * Strong background in numerical mathematics, modelling and simulation is required. * Knowledge in Inverse Problems. * Experience in programming (e.g., Matlab, C, Python). * A high level of competence in
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Project: The successful candidate will contribute to a research project focused on the development, testing, and analysis of resilient geotechnical systems. The work will rely on centrifuge modeling
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layer for gene expression control and numerous other processes in the cell. In this context, individual and combinatorial modifications guide spatiotemporal recruitment of regulatory factors to specific