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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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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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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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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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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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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
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collaborations to implement cosmological analyses derived from the observation of Type Ia Supernovae. This work, carried out within the framework of the ANR SCINF project, aims to develop inference methods based
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Metasurfaces: • Develop multilayered MSs using FDTD, RCWA, or inverse design methods to achieve broadband achromatic performance (400–700 nm). • Optimize MS geometries for high numerical aperture (NA), wide