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Field
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Computational Mechanics. Solid background in continuum mechanics and numerical modeling Strong interest in machine learning and scientific computing Experience with numerical methods for PDEs and data-driven
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an ANR project. The work will be carried out primarily at the MatéIS laboratory at INSA Lyon, a Materials Science laboratory at the intersection between Chemistry, Physics and Mechanics. The work will be
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Engineering » Mechanical engineering Engineering » Other Mathematics » Applied mathematics Physics » Computational physics Physics » Solid state physics Physics » Thermodynamics Researcher Profile First Stage
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9 Apr 2026 Job Information Organisation/Company Czech Technical University in Prague Research Field Physics » Solid state physics Researcher Profile First Stage Researcher (R1) Positions PhD
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on their relative importance or the existence of a dominant mechanism (e.g., Craig et al., 2016; Mazzotti et al., 2000; Damon et al., 2023; Grosset et al., 2023). To address this issue, the PhD thesis will comprise
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description PhD Position on ‘The Neurocognitive Mechanisms of Repetitive
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knowledge for a better world. You will find more information about working at NTNU and the application process here. About the position Gas storage in solid materials is of great importance, which drives fast
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and several natural isoforms (see Figure). Their mechanism targets lipopolysaccharide (LPS), with a 3D structure stabilized upon LPS binding, paving the way for effective, and low-toxicity analogs. In
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degree) in (applied) physics, electrical engineering, or related subjects. Solid background in quantum optics, quantum mechanics, and photonics. Knowledge of programming languages such as Python and MATLAB
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law for strain gradient plasticity. Journal of the Mechanics and Physics of Solids, 46(3), 411-425 Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR7239-THIRIC-003/Default.aspx