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» Computer engineering Researcher Profile First Stage Researcher (R1) Positions Other Positions Application Deadline 20 Oct 2026 - 17:00 (Europe/Paris) Country France Type of Contract Temporary Job Status Full
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short description of previous research experience, and the names and email addresses of at least two references. Additional comments The PhD will be conducted within the INOVTEAM – Innovative Therapies in
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 3 days ago
), dissemination (publications, open-source releases, conference talks such as FOSDEM), and open-science practices (HAL, Software Heritage, Zenodo, artifact submissions) Where to apply Website https://jobs.inria.fr
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 3 days ago
to develop predictive fitness functions. Where to apply Website https://jobs.inria.fr/public/classic/en/offres/2026-10525 Requirements Skills/Qualifications Technical skills and level required
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to medium level skills in programming, image analysis and electronics • Solid knowledge and hands-on experience in light and electron microscopy. • Solid formation in genetics, statistics and molecular
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. The school has many strategic alliances and academic partnerships with leading institutions worldwide. More information on the School and our Department is available at https://www.essec.edu/en/pages
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The PhD work will be carried out within the EMPRe team (https://dcm.univ-grenoble
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electronic excitations—constitute a particularly well-suited and versatile system for exploring this physics. An optical excitation triggers Bose-Einstein condensation, and analysis of the light escaping from
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d'Azur. The team is composed of computer scientists but has a strong interdisciplinary focus, particularly in linguistics, philosophy, sociology, and law. MARIANNE proposes innovative methods for natural
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. The dynamics of head eversion will be characterized by combining confocal and electron microscopy. These approaches will allow us to quantify changes in tissue shape, curvature, and thickness during