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apply approximation methods for interpolating electronic/phononic/thermodynamic properties of disordered crystal materials. Design and implement high-throughput density functional theory (DFT) workflows
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research on 2D materials, including ferroelectric, multiferroic, topological, and moiré systems. Develop, implement, and apply advanced simulation techniques (e.g., density functional theory, tight-binding
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the dynamics and statistics of topological defects in active systems, using continuum theories of active ordered states. This project will require both numerical and analytical work. The position will be based
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apply nonperturbative methods for strongly correlated electron systems, with a focus on integrating accurate many-body calculations with density functional theory. The candidate will also contribute
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of Technology combines outstanding research in many-body physics, materials theory and plasma physics. Our teams develop and apply state-of-the-art numerical methods and simulations – from density functional
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 14 hours ago
other gauge theories, connections to string theory, and QCD at high density. Our group currently includes faculty members William Detmold, Krishna Rajagopal, Phiala Shanahan and Iain Stewart as
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scattering, as well as solid state NMR and computational approaches including density functional theory calculations. The direct access to these facilities and collaborative atmosphere represents a stimulating
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related field are particularly encouraged to apply.We seek candidates with expertise in some or all the following areas: density functional theory, deep learning, high-throughput simulations, molecular
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work at the Université de Pau et des Pays de l'Adour (UPPA) in the Laboratory of Complex Fluids and Reservoirs (LFCR, https://lfc.univ-pau.fr/ ), within the research group “Thermophysical Properties” (PT
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until now, even though a recently developed quantum theory for NL phenomena in this regime predicts improvements of several orders of magnitude in device performance compared to the current state