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and supramolecular chemistry, physical and analytical chemistry, materials design, and photonics. Five teams are affiliated with the CNRS National Institute of Chemistry (INC), while the sixth is part
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. This PhD project in Natural Language Processing aims to design generative models capable of automatically simplifying texts into Easy-to-Read and Understand language while preserving their discourse
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: • To design and optimize an electrolyzer that simultaneously promotes mass transfer, contaminant degradation, and gas recovery; • Study the influence of operating parameters (current density, reactor geometry
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perfusion and mechanical stimulation in tumor tissues to investigate their poromechanical properties and optimize molecular transport within explants. The successful candidate will be involved in: - Designing
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remaining biologically interpretable? The PhD candidate will design and apply integrative computational workflows using methods such as multi-omics integration, spatial modelling, representation learning
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) designs and/or studies materials with novel properties. This requires expertise in material synthesis, advanced characterization, physical property studies, as well as modeling and theoretical description
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controlled group experimental tasks. The candidate will participate in the design, implementation, and analysis of behavioral experiments combined with non-invasive neuroimaging measurements, with
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validation tests of experimental results related to developed prototypes. Designing conversational solutions and for the assessment of conversational solutions after having worked on LLM's. - ISOL, M. Penco
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the output of an ocean model that does not include ice-shelf cavities. Building on previous work, the candidate will design strategies for constructing a suitable set of synthetic ice-shelf cavities
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low-carbon power-generating reactors based on laser fusion. In France, the Taranis project, selected in March 2024 as part of the France 2030 plan and led by the startup GenF, brings together a national