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heat transfer processes Use of advanced numerical methods (CFD, LBM, hybrid models) Utilization of high-performance computing (HPC, GPU) Analysis and validation of numerical results Optimization
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institution is its access to high-performance computing infrastructure, which is essential for large-scale numerical simulations. Researchers on the OPERA team regularly participate in collaborative projects
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particular in terms of seismic risks and underwater noise pollution, by relying on numerical modeling of seismo-acoustic wave propagation generated by underwater explosions and on seismic and acoustic data
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syntheses involving radioactive actinides, numerous experiments will be conducted using non-radioactive elements under similar conditions. The postdoctoral fellow will also be responsible for characterization
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been proposed: traditional computer‑algebra methods [3], reduction of the problem modulo a prime p [6, 2], and symbolic‑numeric methods [4, 1]. This postdoc proposal concerns the second modular approach
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design workflows for nanoporous carbon electrodes for sodium-ion batteries. The objective is to accelerate the exploration of virtual carbons with varied microstructures by combining numerical structure
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numerical simulations of turbulent flows and compare results with standard DNS solvers. • Attempt to simulate high Reynolds numbers flows out of reach for standard DNS methods, and investigate Reynolds
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radiative impact assessment; • Validate the methodology using numerical simulations and satellite observations; • Apply the new retrieval method to investigate the geophysical and climatic impacts of sulfate
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modelling and partial differential equations; • an understanding of Carleman linearisation approaches and/or the Koopman–von Neumann formulation; • the ability to develop and analyse numerical methods
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on developing deep learning methods for the reconstruction and physical analysis of ATLAS experiment data. The selected candidate will develop innovative analysis methods for the reconstruction and physical