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, visiting researchers, master's students, etc.) Research Context Recent advances in mobile robotics have been driven by remarkable progress in perception, deep learning, and control. However, current robotic
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STLO) (https://eng-stlo.rennes.hub.inrae.fr/ ). This work is part of the “Predicting the browning of dairy powders by kinetic modeling of Maillard reaction and caramelization during drying and storage
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observables in both systems. Anderson, P.W. 1972. More is di1erent. Science 177:393-396. Eberl, G. 2026. An elementary model of homeostasis and immunity that generates symbiosis. bioRxiv https://doi.org
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electronics and electrical energy storage and conversion devices, within the EM3 team (Electronics, Microelectronics and Modelling for Multidomain Systems) of the UMR ICube laboratory. Grounded in a systems
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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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interactions and treatment of apicomplexan parasites, including Cryptosporidium and Toxoplasma gondii. What we offer • A 24-month fully funded postdoctoral position ; • a discovery-driven research project
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to understand deformation-controlled hydrogen systems by integrating seismic observations and THMC physical modeling at three complementary sites: Comminges (primary target), Oman, and New Caledonia. The central
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Potentials (MLIP), machine learning (ML) predictive models and AI tools. Activities : Computer science implying ML and AI tools applied to material science Where to apply Website https://umontpellier.nous
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | 2 months ago
this large panel of skills, the team aims at improving our understanding, reconstruction and forecasting of ocean dynamics, and more specifically to bridge model-driven and observation-driven paradigms
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | 2 months ago
machine learning. Gathering this large panel of skills, the team aims at improving our understanding, reconstruction and forecasting of ocean dynamics, and more specifically to bridge model-driven and