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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | about 1 month ago
transcoding techniques [6], while also integrating efficient post-sequencing data retrieval methods such as those proposed in [9]. Bibliography [1] David Reinsel-John Gantz-John Rydning, John Reinsel, and John
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and economy that respect people and their environment. We are looking for our next postdoctoral researcher in computer graphics and machine learning to join the Image, Data and Signal (IDS) department
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 2 months ago
of CMatch in OAEI 2025. https://ceur-ws.org/Vol-4144/om2025-oaei-paper3.pdf [7] Sousa, G., Lima, R., & Trojahn, C. (2026). Survey on embedding methods applied to ontology matching. The expected work consists
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 2 months ago
nonlinear optimal control algorithms. Experimentally validating the proposed methods on a waste-sorting robotic platform. Contributing to mechanical and mechatronic design choices whenever they influence
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 2 months ago
this context, the offer is about continual audiovisual robot perception, and aims to develop methods and algorithms to continuously extract cues about human behaviour from audio and visual data in real-world
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, relies on a minimalist encoding of visual information. Unlike classical computer vision approaches — which require significant computational resources and memory — this method captures and memorizes only
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 2 months ago
-tier machine learning and computer vision venues, actively participating in departmental seminars, and contributing to collaborative projects. Where to apply Website https://jobs.inria.fr/public/classic
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academic institutions and partners. https://www.utc.fr/en/courses-and-training/the-utc-engineering-diploma/computer-sciences-and-engineering-gi/ The laboratory Heudiasyc (UMR 7253) is a joint research unit
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areas : 1/ Development of methods to estimate residential environmental exposures • Develop spatialized indicators of exposure to atmospheric contaminants (gaseous pollutants and pesticides) based
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29 Jul 2026 Job Information Organisation/Company UNIVERSITE DE TECHNOLOGIE DE COMPIEGNE Department Department of Computer Engineering Research Field Computer science » Other Researcher Profile