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, we propose to design pre-trained language models for French with two objectives: To train models for specialised domains (engineering, law, medicine, spontaneous speech transcription) Train models
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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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proficient in English (the working language of the team is English) Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR5077-FABERD-009/Default.aspx Work Location(s) Number of offers
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-validation, uncertainty analysis, design of experiments). Advanced proficiency in at least one programming language (Python or C++). Soft skills Ability to work independently, to operate in
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the ability of LLMs to identify narrative similarities in historical documents, despite noise, linguistic variations, and narrative complexity.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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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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Information Eligibility criteria Theoretical and practical compétences in legal and medical anthrology ; Linguistic competences: fluent in English ; competences in French and in other languages necessary
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Sciences (FHSE) at the University of Luxembourg brings together expertise from the humanities, linguistics, cognitive sciences, social and educational sciences. People from across 20 disciplines are working
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detector development is a plus but it is not mandatory either. Language: fluence in written and spoken English. Good communication skill and ability to work in a team. Applicants should submit a detailed CV