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writing and oral communication skills; good command of scientific English (written and spoken). Additional Information Selection process [email protected] and [email protected] Work
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and their associated microbial communities form an integrated functional entity—the plant holobiont—whose chemical interactions and collective metabolism play a decisive role in adapting
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, ocean acidification, shell quantity and organic-matter content on dissolution. • Characterise the microbial communities associated with the shells (16S rRNA sequencing, exposure to deep-sea bacterial
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of crystallization conditions; preparation of samples for Cryo-EM and cryo-electron tomography; data collection and analysis; communication of results at conferences, scientific workshops, and thesis monitoring
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 2 months ago
community through workshops, seminars, and joint demonstrators, and the opportunity to contribute to Artemis, the program’s open software platform. Doctoral school:MSTII , Université Grenoble Alpes What You
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | about 1 month ago
)”, IEEE Trans. on Commun., vol. 55, pp. 633- 643, April 2007 Where to apply Website https://jobs.inria.fr/public/classic/en/offres/2026-10409 Requirements Specific Requirements Candidate profile
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Inria, the French national research institute for the digital sciences | Villeurbanne, Rhone Alpes | France | about 1 month ago
-supervised by: Mohamed Maouche, Researcher at Inria Raouf Kerkouche, Researcher at Inria Sonia Ben Mokhtar, Researcher at CNRS Scientific context Recent advances in Large Language Models (LLMs) have enabled
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dedicated to the energy storage : the project OBEA (ANR PRC) and the project ECHO-Mix (ANR PRME). As such, the PhD student will be required to communicate with the consortium every 6 months, and exchanges
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. This PhD project in Natural Language Processing aims to design generative models capable of automatically simplifying texts into Easy-to-Read and Understand language while preserving their discourse
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technologies generate large volumes of heterogeneous data and often require advanced technical expertise to operate, configure, and interpret. This PhD project will explore how Large Language Models, Natural