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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | 3 months ago
22 Jul 2026 Job Information Organisation/Company Inria, the French national research institute for the digital sciences Research Field Mathematics Researcher Profile Recognised Researcher (R2
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 2 months ago
25 Jul 2026 Job Information Organisation/Company Inria, the French national research institute for the digital sciences Research Field Computer science Researcher Profile Recognised Researcher (R2
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 3 months ago
16 Jul 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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d’Azur, Inria, CNRS, I3S), [email protected] Co-supervisor (name, affiliation): Serena VILLATA (Université Côte d’Azur, Inria, CNRS, I3S), [email protected] The laboratory and/or research
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Context Recent advances in computer vision and generative AI have enabled major breakthroughs in image and video understanding. However, modern deep learning models remain critically dependent
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https://vbhi-institute.org/en/). Its mission is to improve brain health by reducing the risk of stroke and dementia through a deeper understanding of cerebral small vessel disease. Established as a
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with machine learning approaches Knowledge of muscle mechanics (Hill muscle model or similar) Previous work on simulated bodies or animal locomotion Your Role You will work collaboratively with a
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convergence of high-performance computing (HPC) and AI, which is a subject that sees an increasing importance due to the widespread use of AI and in particular machine learning (ML). As today’s mainstream AI/ML
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increasing importance due to the widespread use of AI and in particular machine learning (ML). As today’s mainstream AI/ML workloads often resort to large-scale and energy-hungry supercomputers, it is