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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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of the multidisciplinary TrAI-SOC project, coordinated in collaboration with UGA's CERAG laboratory. SocSIM-K: https://lig-socsim-k.imag.fr/ LIG: https://www.liglab.fr/en Activities Design the game and define all of its
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catalytic materials based on low-melting-point metals, developed within the framework of the ANR-funded LIZA project (Liquid Metals for Stable Zeolite Catalysis). The candidate will employ the advanced
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the development of very high-tech ceramics to meet new industrial and societal challenges (energy, information and communication technologies, health, eco-materials…). https://www.ircer.fr/ Work Location(s) Number
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a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The postdoctoral researcher will contribute to the development of AI-assisted automated
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during a doctoral dissertation completed within the laboratory and the INNO-REV[1] project. Its objective is to develop and validate innovative passive techniques for improving the performance of latent
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within the research group; - develop and troubleshoot experimental strategies; - contribute proactively to the formulation of biological questions and the interpretation of results; - present research
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consist in the development and use of new magnetization probes for the pulsed magnetic fields generated at the LNCMI-Toulouse. With this new setup, magnetization experiments will be performed on quantum
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the CARNOT HyLBM project, which aims to develop advanced numerical models for hydrogen storage in nanostructured metal hydride reactors. The researcher will contribute to the development of advanced
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with chromatin by recognizing acetylated lysine residues in histones. We previously identified these domains as promising targets for antifungal drug development [refs. 1,2]. More recently, we found