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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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to develop algorithms to factor linear differential operators using p‑adic techniques. The central question of this proposal concerns the efficient symbolic resolution of linear differential equations
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characterization of materials. • Development and operation of experimental test benches under high-vacuum conditions. • Definition of test protocols, including detailed test procedures and acceptance criteria
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on the Belin-Roche campus at University of Toulouse. The doctoral research is part of the TIRIS Scalingup Microcoredeal project, which aims to develop micro-models with a focus on designing and fabricating
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for the study and publication of the ceramic assemblages recovered from the excavations and surveys carried out as part of the IKAP project. He or she will develop a reference corpus based on the project's
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at LAPP is coordinating a project aimed at developing coatings based on GaAs/AlGaAs multilayers. The project, funded by the ANR, is being carried out in collaboration with the CEA in Grenoble, the LMA in
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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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Unit (UMR5574) under the supervision of Université Claude Bernard Lyon 1, ENS de Lyon, and CNRS. CRAL is a laboratory dedicated to fundamental research in astrophysics and the development of instruments
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order to: (i) enrich simplification corpora with discourse and emotional annotations; (ii) develop metrics for emotional fidelity and cognitive effectiveness; and (iii) validate the effects
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The project will be conducted within the “Translation Mechanisms” team led by Emmanuelle Schmitt and Yves Mechulam at the “Structural Cell Biology” (BIOC) laboratory at École Polytechnique, https