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technologies, and integrate machine learning-driven digital twins for predictive combustion modeling. The research program will cover a wide range of e-fuels (H₂, NH₃, CH₃OH, DME, OME) and their applications in
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-flexible technologies, and integrate machine learning-driven digital twins for predictive combustion modeling. The research program will cover a wide range of e-fuels (H₂, NH₃, CH₃OH, DME, OME) and their
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, engineering, bioinformatics, machine learning, artificial intelligence) to support minimally invasive and targeted preventive and predictive medicine capable of limiting age-related functional disorders
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by exploiting foundational machine-learning potentials such as MACE, SevenNet, or Orb-V3. The predictions will then be progressively refined and verified by DFT and, ultimately, tested experimentally
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accès privilégié à l'instrument THEMIS, ainsi que du temps machine alloué à l'équipe sur les calculateurs nationaux de haute performance (par exemple Jean Zay @ IDRIS, ADASTRA @ CINES) pour réaliser les
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clothing and its ability to build the specifications of functionalized textiles, integrating the constraints of existing military and technical textiles. For more than ten years, the world has experienced a
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Inria, the French national research institute for the digital sciences | Villeurbanne, Rhone Alpes | France | 6 days ago
solution for deploying accessible embedded AI-based real-time audio DSP systems will be explored. Smartphones provide a large amount of computational power (including AI accelerators in some recent models
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observations of the solar atmosphere, in-situ measurements from heliospheric probes, in synergy with a complete numerical modeling of the generation and propagation of solar jets from the solar atmosphere
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laboratory is organized into four research groups: - MSC Group: Composite Materials and Structures - SUMO Group: Surface, Machining, Materials, and Tools - MS2M Group: Modeling of Mechanical Systems and
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Inria, the French national research institute for the digital sciences | Saint Martin, Midi Pyrenees | France | 10 days ago
of DMA buffers). Identifying common unsafe patterns or assumptions in the use of kernel APIs. Exploring tools (e.g., static analysis, symbolic execution, model checking, formal specification) to verify