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% of the full-time weekly hours Tasks: Advancing relativistic ab initio methods for predicting structural and spectroscopic properties of heavy-element nanocrystals Requirements: excellent
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experience in theoretical condensed matter physics, especially in ab initio simulations for materials (preferred). Be proficient in scientific programming (preferably Python) and comfortable working with
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will connect leading academic and industrial experts to push the development of novel detection techniques, innovative light sources, state-of-the-art ab initio simulation methods and innovative designs
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. Possess experience in theoretical condensed matter physics, especially in ab initio simulations for materials (preferred). Be proficient in scientific programming (preferably Python) and comfortable working
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grades in the Bachelor’s and Master’s degrees. Be motivated, dedicated, and capable of working collaboratively within a team. Possess experience in theoretical condensed matter physics, especially in ab
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condensed matter physics, especially in ab initio simulations for materials (preferred). Be proficient in scientific programming (preferably Python) and comfortable working with scientific software
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Comenius University Bratislava, Faculty of Mathematics, Physics and Informatics | Slovakia | 3 months ago
diboride superlattices with improved ductility and fracture toughness screened by ab initio calculations Scientific Reports, 2023, 13(1), 12835. https://doi.org/10.1038/s41598-023-39997-4 ; [2] Vidiš, M
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international collaborations. Theoretical support by ab-initio electronic structure calculations is available in house. You will be part of a welcoming and experienced team at MBI and part of the Graduate School