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, the work proposed for this postdoctoral position aims to understand how intraspecific and interspecific interactions combine to shape the dynamics of metacommunities and ecosystems, via the processes
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: Postdoctoral Researcher - College of Engineering Position Type: Faculty Location: Villanova, PA Recruitment Type: Internal/External Applicants Work Schedule: full-time/12-months Department: 959-Center for Energy
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the dissertation, must be completed by the date of appointment. Demonstrated research experience with density functional theory or closely related first-principles atomistic simulation methods. Demonstrated research
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economy. As a postdoctoral researcher, you will unravel how silicon suppresses liquid copper infiltration at the atomic scale, using density functional theory-accurate machine-learned potentials and
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to density functional theory (DFT) calculations and the generation of high-quality atomistic datasets for the development of analytical bond-order potentials (ADP) and machine-learned interatomic potentials
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, or foundation models. Familiarity with atomistic simulations (e.g., density functional theory, molecular dynamics). Interest in developing broadly applicable machine-learning methods for physical sciences
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first-principles (ab initio) simulations, computational materials science, mineral physics, or related areas. Experience with density functional theory simulations, high-performance computing
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language models, reinforcement learning, agent learning, robotic control; (4) quantum materials simulation, density functional theory, catalysis and transition-state theory, molecular dynamics; (5
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, Physics, Materials Science, or a related field Three or more years of postdoctoral experience Strong background in first-principles density functional theory calculations, particularly simulations of light
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–based materials by Density Functional Theory: Ferroelectric perovskites, such as BaTiO3 (BTO), are promising materials for electro-optic modulators (EOMs) in photonic quantum computers owing