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of deep learning in many disciplines, particularly computer vision and image processing. Consequently, coding architectures based on deep learning and end-to-end optimization have been proposed [Ding 2021
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ability to accurately reproduce the spatial details of the observed scene. It is a crucial tool: • for technologists aiming to optimize infrared detection structures. • for systems engineers working
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to anticipate changes in water availability. Addressing this challenge requires new modelling approaches capable of representing groundwater processes across thousands of heterogeneous catchments. To tackle
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for the turbomachinery design optimization process conducted by a parallel PhD student at LMFA. The numerical solver involved is ProLB. It is an innovative Computational Fluid Dynamics (CFD) software solution developed
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innovative projects that have a major impact on society. Context and contributions of the position: Understanding subsurface fluid flow is crucial for optimizing geothermal systems and mitigating risks such as
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precipitation (MICP) is a biogeochemical process involving the precipitation of carbonate crystals in the local environment of metabolically active microorganisms [Hoffmann et al. Microbiology 2021]. Several
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4 Mar 2026 Job Information Organisation/Company UNIVERSITE DE TECHNOLOGIE DE COMPIEGNE Department Industrial Process Engineering department Research Field Engineering » Chemical engineering
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switching in corresponding devices. In this project, we first plan to make optimized engineering of metal stacking involving light elements promoting the required orbital polarization and demonstrate
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processes. The targeted configuration concerns Görtler vortices --- pairs of longitudinal counter-rotating vortices in boundary layers over concave walls --- structures relevant for aerospace and energy
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or cobalt. While hydrometallurgy is a highly effective recycling pathway, it remains resource-intensive and environmentally challenging due to high toxic reagent consumption. Optimizing these processes