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that prepare students for traditional careers in Physics. We also offer more flexible programs leading to the BA and the BS in Applied Physics (BSAP) that can result in careers in numerous professions including
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to thrive and become sought-after experts in SciML, with numerous opportunities in academic, government, and industry positions. The position is offered for one year, continuation is contingent upon funding
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teams to integrate AI and machine learning techniques into lattice field theory frameworks. - Engage in large-scale numerical simulations, performance analysis, and optimization using state-of-the-art
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characterization of photonic devices. Desired qualifications: Theoretical understanding of photonic integrated circuits. Experience with numerical modeling. Experience with Python programming. Additionally, we
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to the research program led by the Penn State numerical relativity group. There will also be ample opportunity to collaborate with other members of the Institute for Gravitation and the Cosmos, which includes
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population genetics. Our location in State College, Pennsylvania, is known for excellent schools, affordable living, and numerous opportunities for outdoor activities. Education and Experience A Ph.D. in
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a related field, and should demonstrate strong expertise in at least two of the following areas: Large-deformation numerical modeling (e.g., Coupled Eulerian-Lagrangian (CEL), Material Point Method
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. The project activities will involve the development of the theory and implementation of the advanced mechanics and numerical models as well as constitutive model calibration and validation based on physical
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different numerical tools via Python scripting Experience conducting machine learning and inverse design models HPC experience Experience training and supervising students High proficiency in writing skills
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numerous Extension offices and research centers . A leading global research institution, Virginia Tech conducts more than $500 million in research annually. Virginia Tech endorses and encourages