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multi-layer systems using a strip casting process. The project is divided into 2 tasks, as follows: 1) Development of an optimum casting formulation based on the starting powder supplied. Optimization
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collaboration with the University of Zurich. Mission The researcher will integrate, optimize, and stabilize the RNb-NeuS neural 3D reconstruction method within the AliceVision software architecture, enabling
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improved in several stages and continues to evolve. It will therefore be a question of carrying out the necessary technical upgrades and optimizing (fine-tuning) the different characterizations on reference
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optics experiments will contribute to a better understanding of local annealing processes, with the goal of achieving optimized control over the final material state, taking into account its crystalline
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in a strongly heterogeneous setting (e.g., CPUs+GPUs). Additionally, this work can benefit from the developments of WP1 and WP2 of Exa-SofT around the development of optimization techniques
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an assessment framework that will enable us to better identify and propose, in a transparent manner, management measures for optimal sustainability, tailored to each study area and applicable to different sites
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Louis Lions. - Design and implement innovative methods for the numerical solution of wave propagation problems within the FreeFEM software, using high-performance computing - Optimize the code
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to several aspects of the project, including: -design, development and validation of experimental optical microscopy setups -modelling and optimization of experimental parameters -adaptation and further
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and optimize their properties for neuromorphic computing through combined electrical and MOKE measurements, and train them to achieve artificial intelligence tasks. - Micromagnetic simulations - machine
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" team led by Jean-Luc Gennisson, a team of 25 permanent people positions and 20 students. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR9011-JEAGEN-005/Candidater.aspx Requirements