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methods to enhance our suite of metabolic modeling tools, including, but not limited to, the calculation, comparison, sampling, and visualization of fluxes. He or she will use these tools to integrate and
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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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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 2 months ago
Text-to-Video Generation Models Supervision : Dr Stéphane Lathuilière (INRIA-UGA) Funding : BPI contract Contexte : Recent advancements in generative AI, and in particular diffusion models [1,2], have
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-Gobain and is hosted within the Saint-Gobain Innovation Hub Europe. The recruited person will report hierarchically to Hervé Montigaud. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR125
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generation, targeted atomistic simulations, structural descriptor extraction, and predictive models. The work will aim to establish links between local pore geometry, structural disorder, sodium adsorption
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scale and the sample scale. - Establish links between microstructure and mechanical properties, by combining experimental and numerical approaches, with the aim of optimizing material performance. Within
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, plasma polymer growth mechanisms, and the physicochemical properties of the resulting coatings, and for transferring the optimized conditions from model surfaces to magnetic nanoparticles. The main
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heat loss. Common thermal insulation materials are highly porous and contain open or closed pores filled with gas. In 2021, only 10% of insulation materials were derived from renewable resources. Plant
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and abroad; • Analysis and interpretation of data in connection with theoretical models; • Writing of reports, scientific publications, and presentations at international conferences; • Contribution
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project funded by the French National Research Agency (ANR), the postdoctoral researcher will contribute to the modelling of interfaces whose properties vary over time. The aim of the project is to develop