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emulator of sea ice dynamics, trained using high-fidelity numerical simulations, (ii) variational data assimilation methods, and (iii) a simplified representation of physical processes in the atmospheric
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Rigorous, organised and methodical Management and leadership skills Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR7107-ANIFOR-019/Default.aspx Work Location(s) Number of offers
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context The position is based in the Mechanical Engineering Department and the Roberval Laboratory,within the Numerical methods in mechanics team. The successful candidate will report to the UTC project
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through sensitivity, uncertainty, and scalability analyses. – Enhance the computational efficiency of large-scale optimization problems by exploring decomposition techniques, parallelization, and
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expertise. Your Responsibilities: Conduct research in the field of Multiscale Computational Methods for novel metamaterials as described above Develop theories, methods and computational tools Participate in
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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Grenoble Observatory of Universe Sciences (OSUG) and a joint research unit (CNRS, UGA) with approximately 170 staff members and numerous temporary employees. https://ipag.osug.fr/ The CHARM team, led by
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May 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description
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computational mechanics, applied mathematics, physics, computer science, biomedical engineering or a related field Good knowledge of numerical methods and finite-element analysis Solid programming skills in C
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) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission of teaching and