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Eligibility criteria Numerical analysis and finite element method Solving anisotropic problems Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR7340-SOPBAU-024/Default.aspx Work Location
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Engineering, or Computational Science. • Strong past experience in numerical analysis and scientific computing. • Experiences in scientific machine learning, computational mechanics, and/or nonlocal models
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transmission electron microscopy. - Surface preparation and nanoparticles manipulation - in-situ Transmission Electron Microscopyy nanoindentations of HEA nanoparticles - Setting up an analysis procedure
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Internal Number: 260781 Minimum Education and Experience: Candidate must have a Ph.D. degree in an area relevant to climatology, geoscience, climate change, natural hazards, impact analysis, and/or numerical
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(f/m/d) full time, initially limited until 31.12.2028 Remuneration according to TV-L The Göttingen Campus is hosting numerous prestigious and internationally renowned research institutions
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Reference Number JdC2025B Is the Job related to staff position within a Research Infrastructure? No Offer Description At AMADE (Analysis and Advanced Materials for Structural Design), a research institute at
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-of-the-art experimental techniques, innovative methodologies, and/or numerical models to make fundamental advances to existing literature. Duties will include but are not limited to: Helping develop novel
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at the CERN accelerator complex, followed by corresponding data analysis. The outcomes of this work are expected to support the HL-LHC Upgrade by identifying possible improvements in dynamic aperture
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Post-Doctoral Associate in Sand Hazards and Opportunities for Resilience, Energy, and Sustainability
of the following areas: Large-deformation numerical modeling (e.g., Coupled Eulerian-Lagrangian (CEL), Material Point Method (MPM), or advanced Finite Element Methods). Physical modeling of tunnel
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of subsea power cables subjected to combined 3-dimensional waves, currents, and turbulence. This research will be approached by both numerical and physical modelling of power cable's response. The successful