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: - reading and understanding theoretical physics articles, in particular with a view to deriving equivalent computer algorithms - develop and/or adapt a physical modem and/or a Monte Carlo type code in
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The intersection of reduced order modeling (ROM) techniques and machine learning (ML) represents a critical advancement in computational science. Traditional ROM methods have evolved significantly since
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the creative and innovative potential of researchers holding a PhD and who wish to acquire new skills through advanced training, international, interdisciplinary and inter-sectoral mobility. MSCA Postdoctoral
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, particularly numerical fluid mechanics, reduced-order modelling, or machine learning. You are passionate about performing original research at the intersection of these different subjects, and interested in
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, Mechanics of Materials, Elasto-Plasticity Topic open: Model-free data-driven approaches offer an interesting alternative to classical constitutive model-based approaches, and to machine-learning approaches
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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 As part of an ANR project, the candidate will be
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at Saclay (20 km South of Paris). ABOUT YOU ! You are graduated from a PhD ? You are specialized in Energy Economics ? You have at least minimum 1 to 2 years of experience in setting up and analysing
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through the EU Research Framework Programme? Horizon Europe - MSCA Is the Job related to staff position within a Research Infrastructure? No Offer Description Guillaume Moissiard and members
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. Additionally, Centrale Nantes is positioned in the top 300 globally for Engineering, and in the top 500 for Physical and Computer Sciences in the Times Higher Education World University Rankings by Subject 2024
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this area. Additionally, Centrale Nantes is positioned in the top 300 globally for Engineering, and in the top 500 for Physical and Computer Sciences in the Times Higher Education World University Rankings