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Computer Vision and Generative AI. The successful candidate will join a dynamic research environment and contribute to cutting-edge research at the intersection of computer vision, generative artificial
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and high‑order finite‑element software. Position details 35‑hour work week, computer workstation at LJAD, remote work possible. Université Côte d'Azur is located on the French Riviera. It is one
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 9 days ago
Website https://jobs.inria.fr/public/classic/en/offres/2026-09928 Requirements Skills/Qualifications Profile: - The candidate is completing a Master's or engineering’s degree in Computer Vision, Electrical
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, film studies, music studies, computer vision, media archaeology, aesthetics (Program website ). The successful applicant will work under the supervision of Prof Bénédicte Coste, Coordinator of MSCA-JD
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | about 10 hours ago
Framework Programme? Not funded by a EU programme Reference Number 2026-09964 Is the Job related to staff position within a Research Infrastructure? No Offer Description This Phd position will be in
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the domain of molecular simulation of physico-chemical processes in proteins. The PhD student will have access to the computer cluster of the lab and to national supercomputers of the GENCI. [1] R
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4 Apr 2026 Job Information Organisation/Company CNRS Department Laboratoire de physique de la matière condensée Research Field Physics Chemistry » Computational chemistry Researcher Profile First
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 9 days ago
Framework Programme? Not funded by a EU programme Reference Number 2026-09927 Is the Job related to staff position within a Research Infrastructure? No Offer Description This 3-year PhD position is fully
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About PhD@Tec21 : The Marie Skłodowska-Curie Cofund doctoral programme PhD@Tec21 is dedicated to training the next generation of experts in mechanical and chemical engineering. The programme targets
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. Chan, “When edge meets learning: Adaptive control for resource- constrained distributed machine learning,” in IEEE INFOCOM 2018- IEEE conference on computer communications. IEEE, 2018, pp. 63– 71. [3] G