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Offer Description Completion of doctoral thesis related to: - Modelling of the geometry for the simulation of the detectors - Meshing of the geometry - CFD simulation - Analysis of the results
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response to climate forcings for different past climates. · Perform and analyze global model simulations. · Collaborate with IPSL Earth System model developers to ensure consistent integration
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molecular simulations, and cutting-edge AI techniques including graph neural networks (GNNs) and large language models (LLMs) to accelerate experimental design and discovery of novel materials. The research
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Duties and Responsibilities • Plan and conduct simulation and modelling activities aligned with project milestones under the guidance of the line manager • Develop and refine a digital twin framework
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. - Experience with large-eddy simulation (LES), high-performance computing, and numerical modeling of atmospheric flows is highly desirable. For both positions: - Ability to work independently as
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dynamics processes into the IPSL Earth System model. · Participate in the scientific exploitation of simulations performed with ORCHIDEE v4. · Collaborate with ARCHIVES project partners to ensure coordinated
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. Were seeking a creative Postdoctoral Scholar to join our team and advance cutting-edge multiscale and hybrid modelingintegrating first-principles simulations with machine learningfor chemical and
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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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experience in perturbative large-scale structure modeling (LSS), in particular biased dark matter tracers, in simulated dataset analysis, as well as strong programming skills in Python and C. Familiarity with
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Numerical simulations Analysis of experimental data Laboratoire Jean Perrin Theory group Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR8237-RAPVOI-006/Candidater.aspx Requirements Research