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at the Laboratoire de Physique de l'ENS, within Team 23, Materials for Energy from Advanced Modeling, in a strongly interdisciplinary environment at the interface between atomistic simulation, artificial intelligence
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, or optimization**, connected to **artificial intelligence** and the research of **Antonin Chambolle** and his collaborators at CEREMADE. The position is a research position. The candidate will interact mainly with
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within the RIS team at the LAAS-CNRS laboratory in Toulouse, France. The candidate will work in a multidisciplinary research environment involving expertise in artificial intelligence, applied mathematics
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with Simulation-based Inference ), funded by the Multidisciplinary Institute for Artificial Intelligence (MIAI) through an AIforScience Research Chair. ADACSI will develop a multi-probe simulation-based
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, an interdisciplinary effort at the interface of genomics, artificial intelligence, and biophysics. The project aims to elucidate the mechanisms governing DNA replication initiation in metazoans by combining deep
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, free from the imperfections of the resistive model and well-suited for NIS. We are seeking a Ph.D. student passionate about materials science, microelectronics, and artificial intelligence to develop
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artificial intelligence to identify molecular signatures of resilience and decipher the underlying mechanisms of Mediterranean ecosystem recovery after wildfires. - **Activity 1:** Field campaigns will be
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, machine learning, explainable artificial intelligence (XAI), digital twins, and integrated data-model approaches. • Study of the frugality of the developed approaches by reducing the requirements
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Generation for Individuals with Cognitive Impairment. In the 34th International Joint Conference on Artificial Intelligence (ECAI 2025). * Ledoyen F., Dias G., Pantin J., Maurel F., Lechervy A., Chahir Y
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center dedicated to advanced microelectronics, photonics, embedded artificial intelligence, and intelligent systems. The 3IT offers unique infrastructures for the development and characterization of low