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1 Nov 2025 Job Information Organisation/Company CNRS Department Langage, langues et cultures d'Afrique Research Field Language sciences Language sciences » Linguistics Language sciences » Languages
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24 Nov 2025 Job Information Organisation/Company CNRS Department Histoire des Théories Linguistiques Research Field Language sciences Language sciences » Linguistics Language sciences » Languages
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integrate the use of Large Language Models (LLMs), LLM agent, Agentic AI models and automated reasoning approaches for the interpretation of complex data, the analysis of experimental protocols, and the
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the ability of LLMs to identify narrative similarities in historical documents, despite noise, linguistic variations, and narrative complexity. Evaluate the performance of LLMs and adapt learning to better
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of Task n.3 « Fieldworks") Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR8070-ALISAR-001/Candidater.aspx Requirements Research FieldAnthropologyEducation LevelPhD or equivalent Research
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detector and the timing layers of the future FCC-ee experiments and application to the FCC-ee physics program; technology options presently considered are Monolithic Active Pixels (MAPS) for the vertex and
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Inria de l'Université de Lille. The position is funded by a Regional Funding within the framework of the CPER WaveTech project. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR8524-QUECHA
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in Grenoble, France. Through its innovative engineering, pioneering scientific vision and a strong commitment from its 700 staff members, the ESRF is recognised as one of the top research facilities
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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | about 9 hours ago
of the European Project consortium Where to apply Website https://jobs.inria.fr/public/classic/en/offres/2025-09638 Requirements Skills/Qualifications A deep understanding of Electrical Engineering fundamentals
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transforming new and existing data flows into evidence-based knowledge. In particular, this work will be carried out as part of the WP4 "Demonstrate with policy-relevant use cases the benefit of an end-to-end