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approach combining cryo-electron microscopy, NMR spectroscopy, and advanced molecular modeling, the research will unravel the molecular architecture and conformational dynamics of pili and their interactions
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Valéo -EMC Box). This project, led by VALEO, aims at advancing design methodologies, particularly in the area of vehicle EMC (Electromagnetic Compatibility). Four academic theses are linked
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strong motivation for modelling the effects of external structures on the near-wall turbulence. ---------------------------------------------------- 2-Objectives and Scientific Challenges The research
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? No Offer Description Context Smart monitoring of mechanical systems (e.g., engineering structures, industrial processes) requires accurate numerical models that can be exploited in real time [1
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the theoretical developments in computation argumentation (CA), information retrieval (IR), and natural language processing (NLP) using recent advances in large language models (LLMs). The candidate is expected
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.) with the aim of understanding their specific pathologies, rehabilitating them or defining innovative and sustainable construction methods, and proposing advanced design tools. • “Dynamics of Complex
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advanced urban planning policies. Their strategic locations in Northern Europe make them an ideal case study for modelling urban dynamics using advanced remote sensing, AI and new mathematical approaches
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Inria, the French national research institute for the digital sciences | Toulouse, Midi Pyrenees | France | 13 days ago
-physical interactions between aerodynamics, propulsion, structures and materials. The systematic verification and validation of these models allows to integrate CFD in the certification process, reducing our
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that the nature of the inner structures changes in response to external structures emerging and strengthening as the Reynolds number increases. Thus, this provides strong motivation for modelling the effects
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that are transforming many sectors today through language models, recommendation systems and advanced technologies. However, modern machine learning models, such as neural networks and ensemble models, remain largely