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technologies. The project employs an interdisciplinary approach based on collaboration among specialists in text and image analysis, natural language processing, large language models, vision-language models
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understand the seismicity of the Brittany region over the last few millennia. The PhD student recruited will mainly develop skills in OSL dating, but also in topographic data processing (e.g., LiDAR), with
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. Argument(ation) mining, the new and rapidly growing area of Natural Language Processing (NLP) and computational models of argument, aims at the automatic recognition of argument structures in large resources
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To achieve the objectives of this PhD project, we will develop a multi-layered methodology that combines advances in robotics, natural language processing (NLP), and knowledge-driven automation. Together
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together expertise in physics, chemistry, nanoscience, and materials engineering. For more information about IS2M, please feel free to visit the website: https://www.is2m.uha.fr/ . The PhD candidate (M/F
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close coordination with project partners, the recruited researcher will conduct experiments to determine the extent to which neural models, now at the heart of many approaches to Natural Language
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, and team spirit. As part of the ERC-Synergy NASCE project (“Natural Auditory SCEnes in Humans and Machines”), this PhD aims to understand how the human brain processes real-world auditory scenes
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the PhD students and technical staff involved in the project, and will take part in both field and laboratory experiments. The fixed-term contract is offered for one year, renewable Organisation and