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Field
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are understood and analysed regarding structural and institutional changes in terms of shifts in work, social networks, the everyday lives and health of older people, and with consideration to new social and
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– such as taking statutory leave – then these may be taken into consideration. We are looking for someone with very strong knowledge of DFT-based electronic structure and lattice dynamics methods (DFPT and/or
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engineering. The research at the division of Materials Physics is directed towards fundamental molecular level understanding of structure and dynamics of materials in relation to macroscopic functionality. A
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. This includes questions about stability, critical in the design of plasma confinement devices. Modus operandi in the project is to make progress on these difficult question via structure-preserving numerical
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such as analytical chemistry, physical chemistry, materials chemistry, inorganic and structural chemistry and organic chemistry. The research projects are many from theory to experiment, from basic
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very strong knowledge of DFT-based electronic structure and lattice dynamics methods (DFPT and/or AIMD-derived phonons), as well as experience in scientific programming and HPC environments. You are
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. Ability to lead your own subprojects while collaborating effectively within an interdisciplinary team. Analytical, structured, and solution-oriented mindset. Strong communication skills and an interest in
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diagnostics, as well as general computer vision applications including autonomously guided vehicles (particularly self-driving cars), image-based localization, structure-from-motion, and object recognition
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the fundamental links between molecular-level structure and dynamics and the macroscopic properties of materials. Our research focuses on energy-related materials for next-generation batteries, with special
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program Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes