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, email: isabel.haasler@it.uu.se , website: https://sites.google.com/view/isabelhaasler/home Please submit your application by May 19, 2026, UFV-PA 2026/1073. Are you considering moving to Sweden to work
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Physics, Chemistry, or a related field. Experience with catalyst simulations. Experience with XAS/EXAFS spectroscopy modeling and its relation to electronic structure theory. Experience with codes like VASP
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 18 days ago
of existing theoretical frameworks in solid‑state physics, electronic structure, lattice dynamics, and quantum transport, or development of new theoretical approaches in these fields, particularly for novel
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) spectroscopy studies of chiral molecules or molecular structures. In addition to the direct determination of absolute configuration, this technique makes it possible to highlight the effects of electron
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to determine these materials’ chemical structure and its effect on their properties. This project will use theoretical modelling (density-functional theory and Monte Carlo calculations) to investigate
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Matter Physics / cond-mat-th , Condensed Matter Physics, Electronic Structure, Strongly Correlated Materials , Condensed Matter Theory , Strongly Correlated Materials , Superfluidity and superconductivity
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compounds. Intermetallic catalysts stand out for their exceptional stability and diverse atomic and electronic structures. This versatility allows them to perform efficiently under harsh conditions, offering
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 20 days ago
either on: application of existing theoretical frameworks in solid‑state physics, electronic structure, lattice dynamics, and quantum transport, or development of new theoretical approaches in these fields
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] Subject Areas: Physics / Condensed Matter Physics , Condensed Matter Physics; Condensed Matter Theory; Computational Physics; X-ray Spectroscopy; Electronic Structure; Ultrafast Dynamics , Condensed Matter
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scales than conventional electronic-structure methods. However, the development of such models typically requires very large training datasets generated from computationally expensive calculations, which