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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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, 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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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
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innovative approaches to reduce signaling load on networks. Furthermore, the researcher is expected to develop mathematical models and tools to rigorously analyze the performance of such algorithms. Extensive
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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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, 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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focused on modeling and simulations of turbulent mixed-phase clouds. This interdisciplinary project encourages collaboration with experts in atmospheric physics. The successful candidate will contribute
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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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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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, numerical implementation, and analysis of multi-scale heat transfer phenomena. Co-supervise PhD students and contribute to mentoring early-career researchers involved in related modelling activities. Attend