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with Simulation-based Inference ), funded by the Multidisciplinary Institute for Artificial Intelligence (MIAI) through an AIforScience Research Chair. ADACSI will develop a multi-probe simulation-based
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19 Sep 2026 Job Information Organisation/Company CNRS Department Propagation des Ondes : Etude Mathématique et Simulation Research Field Engineering Physics » Acoustics Engineering » Materials
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, aims to design, develop, and validate an AI-powered digital twin model addressing key challenges in Health Research. It is a digital copy of the human body trained to identify missing scientific concepts
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equation via the Cole–Hopf transformation and the associated linear problem; • quantum circuit simulation of the dynamics associated with a classical Hamiltonian via the Koopman–von Neumann (KvN
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for environmental qualification campaigns. • Electromagnetic modelling and simulation of resonant microwave structures to support experimental investigations. • Preparation of technical documentation, including
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dynamics simulations to understand the growth mechanisms of thin films deposited by magnetron sputtering, with or without ion beam assistance (IBAS), particularly for metallic materials (Ag) and oxides (ZnO
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publications) - A copy of the PhD defense report (rapport de soutenance) - Contact details and reference letters from two academic referees Application Deadline: October 30, 2026 Applications will be
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computational tools (mainly in-house LBM code) for multiphysics simulations involving: heat transfer multiphase flows sorption kinetics The overall objective is to improve the understanding and optimization
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of ageing and degradation mechanisms under simulated space environments. Assessment of material behaviour under thermal cycling, vacuum, radiation and other relevant environmental conditions. Correlation
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radiative impact assessment; • Validate the methodology using numerical simulations and satellite observations; • Apply the new retrieval method to investigate the geophysical and climatic impacts of sulfate