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Inria, the French national research institute for the digital sciences | Grenoble, Rhone Alpes | France | 3 days ago
the Thoth project team (https://thoth.inrialpes.fr/ ) within the Inria Centre at Université Grenoble Alpes (https://www.inria.fr/en/inria-center-universite-grenoble-alpes ) to work under the supervision
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Inria, the French national research institute for the digital sciences | Gif sur Yvette, le de France | France | 3 days ago
spectrum reflecting the chemical composition of the sample. Using this approach, the project partners https://www.multi-opto-diag.fr/khi-malma-piq/ recently demonstrated that the so-called “silent region
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 3 days ago
and Objective: Tabular and Time-series foundational models have become very popular due to their high accuracy relying solely on In-Context Learning (ICL) [3, 4]. However, one still requires training
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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | about 16 hours ago
. In Proceedings of the Fourth Workshop on Language Technologies for Historical and Ancient Languages (LT4HALA) @ LREC 2026. https://arxiv.org/abs/2602.13905 Clérice, T., Pinche, A., Vlachou-Efstathiou
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-temporal-resolution bulk measurements (XAS, Raman spectroscopy, XRD), with particular emphasis on pair distribution function (PDF) analysis. Machine learning approaches will be used to support these analyses
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-generation neuromorphic implants with learning capabilities for healthcare applications, utilizing ultra-low power technology for embedded devices. This topic is a major area of research activity of the IEMN
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investigate out-of-equilibrium dynamics in high-dimensional disordered systems (including models relevant to machine learning and optimization) by characterizing the fixed points (metastable states, attractors
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | 3 days ago
and physical oceanography, data assimilation and machine learning. Gathering this large panel of skills, the team aims at improving our understanding, reconstruction and forecasting of ocean dynamics
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platforms and 1,600 partner companies. For more information: https://www.imt-mines-ales.fr You will be based at the Mines Alès Materials Center (C2MA) at IMT Mines Alès and will be part of the UMR LMGC
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develop and implement machine learning approaches to analyze these data and extract relevant indicators to improve water resources management. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant