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for the heliophysics component, and LISN in Orsay for the computer science and natural language processing component. Status meetings every two weeks, alternately at LIRA in Meudon and at LISN in Orsay. The PhD thesis
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 2 months ago
, expertise, and powerful computational resources (GPUs & CPUs) of the team. This PhD position is fully funded within the framework of RoGSiLT: Robust and Generalizable Sign Language Translation , a
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). The PhD candidate will be affiliated with the CLESCO Doctoral School (Behaviour, Language, Education, Socialisation, Cognition) at Université Toulouse 2 – Jean Jaurès. Dissemination The results
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d'Azur. The team is composed of computer scientists but has a strong interdisciplinary focus, particularly in linguistics, philosophy, sociology, and law. MARIANNE proposes innovative methods for natural
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on signals and complex systems. Gipsa-lab develops projects in the strategic fields of energy, the environment, communication, intelligent systems, life and health technologies, and language engineering
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Inria, the French national research institute for the digital sciences | Villeurbanne, Rhone Alpes | France | about 1 month ago
Framework Programme? Not funded by a EU programme Reference Number 2026-10411 Is the Job related to staff position within a Research Infrastructure? No Offer Description The PhD will be hosted by Inria
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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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of Clermont-Ferrand. This joint research unit (UMR) currently comprises 43 permanent researchers and a total of 102 staff members, including contract staff, PhD students and postdoctoral researchers. The LAPSCO
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Description The PhD candidate will contribute to a fundamental research project in cognitive neuroscience aimed at improving our understanding of the neural mechanisms involved in human decision-making during
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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