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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 9 days ago
28 Mar 2026 Job Information Organisation/Company Inria, the French national research institute for the digital sciences Research Field Computer science Researcher Profile First Stage Researcher (R1
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of deep learning in many disciplines, particularly computer vision and image processing. Consequently, coding architectures based on deep learning and end-to-end optimization have been proposed [Ding 2021
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- 23:59 (UTC) Country France Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 1 Oct 2026 Is the job funded through the EU Research Framework Programme? Not funded by
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funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Scientific domain and context
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21 Mar 2026 Job Information Organisation/Company CNRS Department Centre de Recherche sur la Conservation Research Field Chemistry Chemistry » Computational chemistry Researcher Profile Recognised
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The PhD will be carried out at LRGP (Laboratoire
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Les matériaux et structures souples présentent des comportements
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Le projet de doctorat s'inscrit dans le domaine des modèles génératifs, qui
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Cette thèse propose une approche multi-échelle centrée
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project The main objective of this PhD project is to explore and analyze bio-inspired neural architectures for early detection from spatio-temporal data under realistic sensing and computational constraints