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of errors between model predictions and post-operative reality This work will be carried out by the Biomécamot team (https://www.timc.fr/BiomecaMot ) at the TIMC laboratory, which is part of the CNRS's
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practical skills in numerical modelling. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR5510-PETGRI-001/Default.aspx Work Location(s) Number of offers available1Company
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, and/or numerical mathematics, as well as an excellent command of a programming language, preferably Python or C/C++. The candidate should have an interest in modeling and solving a complex, coupled
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laboratory. The candidate will benefit from the expertise in numerical simulation and bioinformatics available at the L2C and the IBMM. The IBMM will produce the initial glycoproteins for calculations using
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via theory, numerical models, and observations (particularly satellite altimetry). This includes analytic and numerical investigations of submesoscale turbulence and wave-turbulence interactions, and
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, underwater gliders, micro-AUVs, and ship-based sampling), remote sensing products, and high-resolution numerical models. The work will improve understanding of coastal ecosystem variability, support better
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experimental, pilot-scale, or high-fidelity simulation data into model calibration and validation workflows Design and run numerical simulations of multiphase flow systems and reactors Quantify model uncertainty
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. of Mathematical Modelling and Numerical Analysis. The position is funded through the Marie Sklodowska Curie Doctoral Network ACHILLES, which brings together a broad spectrum of expertise, including basic research
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Associate Researcher whose research will focus on space physics. The research includes the following activities: Numerical modeling of the dynamic variability of radiation belt fluxes Data analysis from
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algorithms/techniques. The work lies at the intersection of multiphase flow physics, numerical modeling, and quantum computing. Who we are looking for The following requirements are mandatory: A doctoral