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- Justus Liebig University Giessen •
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particular emphasis on time-dependent density-functional theory (TDDFT). Understanding how electrons evolve in time is central to modern science and technology, from photochemistry and catalysis to quantum
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | 28 days ago
and D. J. C. Mackay, “Low density parity check codes over GF(q)”, Information Theory Workshop, 1998, pp. 70-71. [11] D. Declercq and M. Fossorier, “Decoding algorithms for nonbinary LDPC codes over GF(q
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standard simulation methods. This PhD topic falls within the area of computational materials science and will involve the use of established methods such as density functional theory and molecular dynamics
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dynamics, and density functional theory (DFT) can be combined to accelerate the discovery and design of next-generation organic semiconductor materials with tailored optoelectronic properties. The project
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behaviour and electrically tunable interfaces in 2D heterostructures. Methods include density functional theory (DFT), atomistic simulation, high-performance computing, and machine-learning-assisted materials
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training in first-principles electronic-structure and excited-state methods (density functional theory and the GW and Bethe-Salpeter-Equation approaches), machine learning for atomistic simulation, and high
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Institute of Neuroscience and physiology, Sahlgrenska Academy, university of Gothenburg | Sweden | 16 days ago
employees make the university a large and inspiring place to work and study. Strong research and attractive study programmes attract researchers and students from around the world. With new knowledge and new
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electronic structure methods such as density functional theory or many-body techniques, is highly desirable. The candidate should demonstrate strong analytical skills, motivation to work at the interface
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Nuclear energy-density functionals are among the most powerful theoretical tools for describing atomic nuclei and for connecting laboratory nuclear physics with the properties of dense matter in
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or applying artificial intelligence methods to problems in the physical sciences Prior experience or coursework in machine learning, density functional theory, or molecular dynamics is advantageous Effective