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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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to present work at research seminars and thematic events, building strong skills at the interface of classical geotechnical engineering and modern computational/data-driven methods. For further questions
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2026 - 21:59 (UTC) Country Sweden Type of Contract Not Applicable Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description He/She will lead the study of MOF adsorption properties
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English. Preference will be given to those with (i) strong background in quantitative methods, geospatial methods, AI and machine learning; (ii) experience in high-performance and cloud computing; (iii
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LevelPhD or equivalent Skills/Qualifications Who you are You have a PhD, preferable in Computer Science, Engineering, Mathematics, or equivalent. You have a strong background with parallel and distributed
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to the effective computation of the data and numerical simulation. Where to apply Website https://resurseumane.ase.ro/non-gaussian-self-similar-processes-enhancing-mathe… Requirements Research
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to the effective computation of the data and numerical simulation. Where to apply Website https://resurseumane.ase.ro/non-gaussian-self-similar-processes-enhancing-mathe… Requirements Research
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Leibniz Institut für Naturstoffforschung und Infektionsbiologie | Jena, Th ringen | Germany | about 7 hours ago
Infrastructure? No Offer Description The postion is initially limited to four years. The Microbiome Dynamics (MBD) Department contributes, using computational methods, to the development of personalized
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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