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develop a new generation of hybrid models combining large-scale machine learning with physical knowledge to represent interactions between mobile robots and their environment. The research will address
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models enabling the prediction of browning intensity during storage. Missions The recruited person will be responsible for: Study of reaction dynamics during simulated drying development and use
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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 SuperNEMO project is driven by an international collaboration of a hundred
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interpreted within a THMC physical modeling framework, in which deformation controls the evolution of permeability, fluid pressure evolves via porous flow, and reactions (serpentinization) modify bulk and
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Inria, the French national research institute for the digital sciences | Talence, Aquitaine | France | 2 months ago
work closely with a second PhD student, primarily based and supervised at Gepetto, and focusing on the development of RL motion generation and simulation-driven co-design tools. The two PhD projects will
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Toulouse, who developed a tool called BibHélioTech, which serves a precursor to this thesis's research. International collaborations are also possible, particularly with the NASA/ADS (Astrophysics Data
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–Science research-creation project bringing together engineering, life sciences and design. This interdisciplinary framework will enable the candidate to develop innovative experimental models while engaging