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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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16 Sep 2025 Job Information Organisation/Company CNRS Department Laboratoire de Phonétique et Phonologie Research Field Language sciences Language sciences » Linguistics Language sciences
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and foundation models (e.g., Prithvi-EO-2.0) to enhance prediction accuracy, (4) Utilizing large language models to capture cascading ecological effects through sequential autoregressive modeling, and
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Python, including use of data analysis libraries such as pandas and scikit-learn Experience with Large Language Models (LLMs): using APIs (e.g., OpenAI, HuggingFace), or local models (e.g., Ollama
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language (preferably C++). English (written and spoken) – C2 level Additional Information Selection process daniele.di-pietro@umontpellier.fr , jerome.droniou@umontpellier.fr Work Location(s) Number
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finite elements, finite volumes, etc. Practical knowledge of at least one programming language (preferably C++). English : level C2 _ All research exchanges will be in English Additional comments ERC
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the raw experimental results, with a good level of independency; Be fluent in English, as it is the working language; Possess a very good organisational and communication capability. Within our team and in
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skills/expertise : Writing skills Discipline-specific computer skills Language skills and ability to work in an international context Ø Personal qualities : Organization and priority management Ability
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Deep learning models, and in particular large language
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of religions Language sciences » Philology Language sciences » Other Religious sciences » Other Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country France Application Deadline 31 Oct