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Coding: implémentation et validation sur une chaîne de transmission réelle H/F Ref. : 2026-41055 Internship Isère (38) Grenoble Legal notices Cookies Configure your cookies Accessibility: partial compliance Sitemap Go to top
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promising industrial sectors. In this context, artificial intelligence (AI) algorithms have undoubtedly demonstrated their effectiveness for tasks related to vision, with various sensors (camera
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field samples. At LPCV, you will contribute to the research themes of the Photosymbiosis team led by Johan Decelle (https://photosymbiosis.com/), to apply cryo-ET on symbiotic organisms. You will
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such a model) and, in particular, the carbon cycle Excellent coding skills (preferably in FORTRAN), debugging and evaluation. Ideally, the candidate will have previous experience developing land
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of Textual and Visual Semantic Analysis (LASTI) conducts its research in the field of natural language processing and computer vision to extract, classify and generate information. The laboratory's
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français). Un doctorat en informatique, mathématiques appliquées, physique ou ingénierie est requis. En détail : https://tinyurl.com/postdoc-exascale Localisation du poste Site Saclay Localisation du
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. Pour plonger au cœur de la salle blanche : https://www.youtube.com/wa tch?v=x2X9yzNFUnY&t=135s Durée du contrat (en mois) 6 Description de l'offre Votre mission consistera à développer des solutions de
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computer vision). - Maîtrise de la programmation en Python et des frameworks comme PyTorch ou TensorFlow. - Expérience (un plus) avec des modèles de segmentation (YOLO, U-Net, etc.). Conformément aux
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de la sécurité contre les actes de malveillance (SESAM). Si vous aimez relever les défis, venez construire avec nous la nouvelle DEND ! Site : https://www.dend.fr/ You may be interested in these
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multidisciplinary team is involved in the project with much excellence and expertise in the topic. An example of a recent related research can be found here: https://doi.org/10.1016/j.ensm.2025.104742. New ideas