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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 4 days ago
of hybrid modeling frameworks for electromobility, combining physical models, graph-based representations, and data-driven approaches. It aims at integrating large-scale mobility data to improve
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criteria - Emerging technologies modeling, - circuit simulation and design. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR5270-SYLGON-070/Default.aspx Work Location(s) Number
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Establish and validate a regional coupled ocean modeling framework at very
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of wood formation (CEMACam project). - main mission: The candidate will be tasked with continuing the development of a wood formation simulation model initiated during the project. This 'vertex' model
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the effects of these factors at the tissue level. The position will also involve simulating and optimizing complex models that integrate biological and physical data using advanced methods, such as physics
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 6 days ago
. Studying literature Scanning rose flowers at different growth stages Implementing and testing neural shape models Writing research reports Where to apply Website https://jobs.inria.fr/public/classic/en
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Post-doctoral position (M/F) for testing drought-based BEF relationships at CEFE Montpellier, France
) Carry-out additional simulations with the Phoreau model to test the effect of tree diversity on forests' resistance to droughts. ii) Analyse biodiversity-drought resistance relationships, across a
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 40 minutes ago
work algorithm design and their theoretical analysis numerical simulations writing scientific papers Where to apply Website https://jobs.inria.fr/public/classic/en/offres/2026-09888 Requirements Skills
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quantification of pigments and binders. The work will include the generation of simulated spectral data based on physical models, the training and optimization of machine learning models, and their validation
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behavior, in particular during impact scenarios such as the rebound of a quasi-rigid ball on the foam. Depending on the scale considered, simulations may be performed either on explicitly modeled