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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 19 days ago
), the objective of this internship is to improve the performance of full waveform inversion (FWI) algorithms for seismic subsurface imaging. This work lies at the interface between Earth sciences, mathematics, and
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to the causal abstraction research direction, which aims to build rigorous benchmark for evaluating AI interpretability using the framework of causal abstraction and develop new interpretability methods
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of FHE. The project aims to develop more efficient neural network architectures tailored for encrypted computations. The postdoctoral researcher will be supervised by Jean-Christophe Mourrat, in
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26 Nov 2025 Job Information Organisation/Company CNRS Department Institut de Recherche en Informatique de Toulouse Research Field Computer science Mathematics » Algorithms Researcher Profile First
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of estimation algorithms, use of observers, etc.). • Development of a control architecture integrating data from the localization system. • Experimental validation of the developed system. ADDITIONAL INFORMATIONS
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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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Arts et Métiers Institute of Technology (ENSAM) | Paris 15, le de France | France | about 1 month 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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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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Inria, the French national research institute for the digital sciences | Talence, Aquitaine | France | 9 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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projet ANR 4DPlants (https://4dplants.icube.unistra.fr/ ), financé par le ministère français de l'Enseignement supérieur et de la Recherche, et mené en partenariat par ICube/Université de Strasbourg, RDP