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Cornell University, Cornell Laboratory for Accelerator-based Sciences and Education Position ID: Cornell-CLASSEPhysics-EPPPD [#31502] Position Title: Position Type: Postdoctoral Position Location
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of Pharmacy, UCC, led by the Professor of Pharmaceutics, Brendan Griffin is aiming to develop Artificial Intelligence (AI) and machine learning tools that can accelerate the creation of medicines for conditions
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technologies to accelerate life sciences research within the Center for Medical Biotechnology and across VIB. Collaborating with biology-focused teams, we uncover novel biology and open new avenues
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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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), Kinetic Modeling. Machine Learning Interatomic Potential (MLIP) accelerated simulations. Demonstrated ability of coding in Fortran, Shell, or Python with development experiences. Deep knowledge in excited
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. The research focus will be on developing and applying first-principles-based and data-driven computational methods to understand multiscale processes and to accelerate chemical discoveries for renewable energy
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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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while improving productivity, performance portability, scalability and resilience, performance and energy efficiency. The NumPEx Exa-DI project aims to improve and accelerate the development of exascale
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combination with methods of nonlinear spectroscopy. The spectral range includes in particular XUV radiation and soft x-rays, where experiments at in-house sources are complemented with the use of accelerator
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 5 hours ago
advanced computational techniques grounded in physical laws. The research will accelerate the development of reliable predictive capabilities for high-impact, low-frequency rainfall extremes. The successful