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are especially encouraged: (1) statistical mechanics, condensed-matter theory, quantum field theory; (2) tensor networks, quantum information, quantum algorithms; (3) machine learning, generative models, large
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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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include behavioral measurements, fMRI, EEG and organoid ex-vivo modeling, and measurements will be collected longitudinally. Our goal is to create stratification that will meaningfully inform the future
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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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analytical and numerical models of nonlinear vibration systems. The successful candidate will investigate stochastic resonance and noise-assisted dynamics, perform finite element modeling of coupled mechanical
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threat to the deployment of a hydrogen energy infrastructure and the cause of numerous structural integrity problems in the transport, defence, marine and construction sectors. You will be responsible
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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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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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microscopy and imaging approaches Hands-on experience with genome editing technologies (CRISPR-based techniques) Hands-on experience with cellular differentiation systems, stem cell biology and cellular models