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Joint Research Unit (UMR 7345) overseen by Aix-Marseille University and the CNRS (primarily affiliated with the CNRS Engineering and CNRS Physics institutes, and secondarily with the CNRS Chemistry and
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, public policy support, and commercial activities of the DED/I2S unit in France and internationally. The unit’s main research themes include: (i) Assessment of the integrity of natural and engineered
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staff members (researchers, engineers, PhD students) and operates several major experimental facilities: LULI2000, Apollon, HERA, XCAN. The PhD student will join LULI's theory team (TIPS) and will work
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-Saclay region and is easily accessible by public transportation from Paris. More information is available at https://www.ip-paris.fr . The candidate will join the doctoral school of the Institut
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• Education: Master's degree in Automation, Electrical Engineering, AI, or Energy. • Skills: Modeling (Python/Matlab), AI (PyTorch/TensorFlow), signal processing. • Qualities: A passion for experimentation (HIL
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the experimental setup, synchronising the cameras, optimising the illumination, and developing image-processing methods to extract propagation pathways and velocities. Several plant species and different branching
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11 Jul 2026 Job Information Organisation/Company CNRS Department Institut de Chimie et Procédés pour l'Energie, l'Environnement et la Santé Research Field Chemistry Physics Technology Researcher
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 3 months ago
system Where to apply Website https://jobs.inria.fr/public/classic/en/offres/2026-10252 Requirements Skills/Qualifications Engineering and/or Master 2 degree in Computer science / Applied mathematics with
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territory provides access to a very rich dataset on emergency interventions during flood episodes. Where to apply Website https://amethis.doctorat.org/amethis-client/prd/consulter/offre/3714 Requirements
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 3 months ago
vision, or sign language technology. References [1] N. C. Camgöz, S. Hadfield, O. Koller, H. Ney, and R. Bowden, “Neural Sign Language Translation,” in Proceedings of the IEEE Conference on Computer Vision