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21 Aug 2026 Job Information Organisation/Company CNRS-LMA Department laboratoire de Mécanique et d'Acoustique UPR 7051 Research Field Mathematics » Computational mathematics Engineering » Simulation
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optimisation techniques, machine-learning methods and data-driven modelling. Familiarity with robotics and autonomous-system simulation environments such as ROS/ROS2, Gazebo, AirSim, Unity, or equivalent
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towards a sustainable future. Subject description This project focuses on the development of GPU-accelerated, high-fidelity thermal runaway simulation models for lithium-ion battery cells, modules, packs
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. The position will involve developing computational models and simulation tools, analyzing experimental and operational data, formulating and solving optimization problems, evaluating technical and economic
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Extensive experience with high-vacuum equipment Experience in 3D modelling and design using AutoCAD or comparable software Experience in simulating ion trajectories in ion-optical systems using SIMION
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models, performance evaluation criteria, and the grant contract model are those approved under the University of Coimbra's Research Grant Regulations. Where to apply Website https://apply.uc.pt
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environment focused on physics‑informed AI tools for materials design and characterization. In a collaborative project with industrial partners, you will work on developing physics‑informed models for heat
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generation, targeted atomistic simulations, structural descriptor extraction, and predictive models. The work will aim to establish links between local pore geometry, structural disorder, sodium adsorption
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for implementing computational models, simulations, and numerical experiments is desirable. Diversity Committed to equality and valuing diversity Application Process You will be required to upload a covering letter
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large‑scale global solar/stellar dynamo simulations capable of capturing both small‑scale and large‑scale dynamos in the same model with resolutions requiring at LUMI‑class resources. Perform model