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Arts et Métiers Institute of Technology (ENSAM) | Paris 15, le de France | France | about 2 months ago
can be developed using FPBTs and FBGs coupled with physically informed (PI) machine learning algorithms. SMATSH scientific objectives are then to develop computationally efficient models to predict
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development. To validate your developments, you will be provided with access to the top European supercomputers (Adastra, Jean-Zay, etc.). Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UAR3441
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to develop Computer Vision algorithm and Interfaces for collaborations with Historians teams. Specifically, the research will focus on structured data with clear repeated patterns, such as characters in a text
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 18 days ago
the length-scales at which fibers interact, innovative approaches are crucial. Recent developments for the simulation of frictional fibers have made possible the efficient simulation of tens of thousands
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Inria, the French national research institute for the digital sciences | Talence, Aquitaine | France | 28 days ago
. This initiative addresses a critical challenge in educational technology: developing AI systems that combine the pedagogical rigor and personalization capabilities of Intelligent Tutoring Systems (ITS) with
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of algorithms for each use case and foundation model. The latter tasks will involve close interaction with the partners responsible for the development of the language models and the partners responsible
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18 Nov 2025 Job Information Organisation/Company CNRS Department VERIMAG Research Field Computer science Mathematics » Algorithms Researcher Profile First Stage Researcher (R1) Country France
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Inria, the French national research institute for the digital sciences | Bron, Rhone Alpes | France | about 2 months ago
unified understanding of behavioral adaptation. The project aims to: Develop and analyze computational models that capture flexible, multi-timescale learning and adaptation in recurrent neural circuits
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aims with regard to education and industrial development. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR5505-GERBON-002/Candidater.aspx Requirements Research FieldComputer
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Description Evaluation of the robustness of ML algorithms executed on a non-hardened accelerator through circuit-level fault-injection The project addresses the challenges of deploying AI applications