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such medicines, as well as lack of technical expertise and resources of local manufacturers to navigate the rigorous process of bringing these drugs to market. To address this issue a team from the School
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) Condensed matter theory, 6) Quantum physics, quantum information and interaction between light and matter, 7) Plasma, accelerator physics, kinetic turbulence, 8) New areas of theoretical physics or related
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University of North Carolina Wilmington | Wilmington, North Carolina | United States | about 18 hours ago
, marine geology, environmental studies/sciences, and physical oceanography. The center fosters research programs of the highest quality and thereby enhances the educational experience provided by
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. Read more about CEBE (https://villumfonden.dk/en/nyhed/billion-kroner-research-grant-accelerate-green-transition-built-environment). The transition from CO2 producing building materials to renewable, CO2
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) developing and evaluating a Virtual Insomnia Patient (VIP) designed to accelerate the training of new therapists, and (b) assessing the efficacy of an accelerated cognitive and behavioral treatment
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of supercomputer resources coaching bachelor and master students publishing results in physics journals and presenting them at international conferences while collaborating with the scientists at JSC an in
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Roman Space Telescope in the Cosmic Frontier. The Division is also engaged in physics preparations for the Electron-Ion Collider (EIC), the development of advanced accelerator technologies (such as the
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nuclear theory, low-energy nuclear physics, medium-energy nuclear physics, fundamental interactions, and accelerator technology, with additional smaller-scale programs in optical trapping of atoms, quantum
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materials. In this role, you will develop and apply methods that integrate physics‑guided image correction with intelligent (AI/ML‑enabled) data‑acquisition strategies. Key objectives include (1) implementing
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, electronic properties, and spectroscopic response. A major component of the project will focus on coupling DFT calculations with machine learning models to accelerate spectral prediction, identify robust