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). The project is funded by the French National Research Agency (ANR) through the ePulse2 project (https://anr.fr/Projet-ANR-25-CE08-0397 ), which focuses on two aeronautical materials exhibiting carbides and/or
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or equivalent Experience: Junior The successful candidate should demonstrate: A strong interest in physical and mathematical modelling of natural systems; Solid knowledge of numerical methods for discretisation
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mathematics (PDE and numérical methods) with a strong interest in geosciences. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR7013-CARLUC-002/Default.aspx Requirements Research
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significant impact, both on the flow and on the reflection of acoustic waves at the ground. Predicting wind turbine noise therefore relies on numerical simulations. Numerous numerical methods have been
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incinerated or accumulating in the environment. Current recycling methods face significant limitations, often leading to material degradation or having a substantial environmental footprint. Recently, enzymatic
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, Infected macrophage populations. Perform parameter estimation using optimization and machine learning approaches Develop numerical schemes for high-dimensional structured PDEs (pseudospectral methods
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Computational Mechanics. Solid background in continuum mechanics and numerical modeling Strong interest in machine learning and scientific computing Experience with numerical methods for PDEs and data-driven
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cooperation, and the case of competition; to design extensions of the models taking into account individual strategies and to implement numerical simulations; -to develop methods to compare the experimental
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. Angélique FERRY (50%) and Dr. Morgane de Robichon (50%), BioCIS Laboratory (CY Cergy Paris University) Nucleosides represent a ubiquitous family of biomolecules involved in numerous key biological processes
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Computational Mechanics. Solid background in continuum mechanics and numerical modeling Strong interest in machine learning and scientific computing Experience with numerical methods for PDEs and data-driven