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, molecular, optical and chemical physics, high energy density and plasma physics, condensed matter physics, astrophysics and atmospheric sciences. Please see here for more information: https://www.unr.edu
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: https://www.uni-giessen.de/en/faculties/ggkgcsc/graduate-programmes/phdnet/phdnet Integrated internships An internship is not part of the programme. Teaching/work obligations or opportunities Members have
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, 7503–7507 (2015) • collaborate with theoreticians at CEMES to compare experiments with the band structure first-principles calculations based on the density functional theory (DFT). The National Intense
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including strongly correlated fermion materials, high-temperature superconductivity, topological electronic states of matter, developments and applications of computational methods at the density-functional
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strongly recommended. • High Performance Computing. • Experience with High Throughput Calculations will be valued but it is not essential. • Previous knowledge of Density Functional Theory (DFT) and
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performing atomistic simulations with Density Functional Theory and Molecular Dynamics. Data analysis and coarse graining in order to provide parametrisations for upper scale models (Kinetic Monte Carlo and
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Skills Familiarity with density functional theory and beyond-mean-field techniques. Knowledge of high-performance computing methods. The duties, qualification requirements, and language skills of a
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complex materials simulations. These agents will assist with setting up, executing, and optimizing electronic structure workflows, from standard ground-state Density Functional Theory (DFT) calculations
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in Journal Citation Indexed (JCR) journals. Qualification or experience in any of the following disciplines: Life Cycle Assessment, Density Functional Theory or Materials Experimentation
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programming and scientific computing Prior experience or coursework in density functional theory, molecular dynamics, or machine learning is advantageous Effective communication skills in English Interest in