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with the startup Nellow, with the goal of advancing FESO-based logic-in-memory architectures toward industrial deployment. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR137-MANBIB-028
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2 Apr 2026 Job Information Organisation/Company CNRS Department Architecture et Réactivité de l'ARN Research Field Chemistry Physics » Biophysics Biological sciences » Biological engineering
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of novel robotic architectures, with the ultimate goal of developing an original technology with no international equivalent and strong prospects for industrial and clinical applications. Project Overview
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architecture on a variety of datasets. In a second phase, several domain adaptation strategies taking into account the specificity of the data (low resolution), the correlations between the different sites, and
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representations as a first building block, the recruited candidate will be responsible for developing end-to-end interpretable neural architectures. The goal is to remain within an interpretable space throughout
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27 Mar 2026 Job Information Organisation/Company Télécom Paris Research Field Computer science » Computer architecture Researcher Profile First Stage Researcher (R1) Positions Postdoc Positions
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 9 days ago
joint project between the laboratory “Reproduction et Développement des Plants” at Ecole Normale Supérieure at Lyon (https://www.ens-lyon.fr/RDP/ ), Mosaic team at Inria Lyon (https://team.inria.fr/mosaic
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and Artificial Intelligence. Where to apply Website https://www.abg.asso.fr/fr/candidatOffres/show/id_offre/137704 Requirements Specific Requirements Candidate profile Applicants should hold a PhD in
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implement and train neural network architectures, including Physics-Informed Neural Networks (PINNs), in order to integrate physical constraints into the learning process and improve the identification and
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2030 program (see https://www.pepr-risques.fr/fr/programme-de-recherche-risques-irima ). IRIMA is led by CNRS, Grenoble Alpes University and BRGM, and aims to structure and strengthen hazard and risk