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Technologies du Langage) department. This team specializes in machine learning methods applied to language processing and has extensive experience and international recognition in speech technologies. Where
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. These developments will have to respect the rules of heritage materials preservation recommanded by curators. The recruited person will have to drive the developments, acquire and process the results, and then
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majority of coronal loops in active regions and manifests as evaporation-condensation cycles. As such TNE is a key process for the mass and energy transport in the solar atmosphere. Up to now the
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: - Studying the functional groups and surface properties of lignin from various sources and manufacturing processes. - Evaluating the mechanical properties, morphology, and interfacial interactions in rubber
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of Research ExperienceNone Additional Information Eligibility criteria The applicant should have a PhD in astrophysics or an equivalent qualification (e.g., in signal processing and machine learning). Skills in
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language models and computational tools. This approach will centralize the end-to-end processing, transforming raw experimental data into an enriched graph exploitable via natural language. Evaluation will