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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 language
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The project is interdisciplinary, co-supervised by the GREYC and MODYCO laboratories, with support from the NIMH laboratory. It combines Natural Language Processing, linguistics, and cognitive psychology in
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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 Language
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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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.) have been the subject of recent excavations, providing relevant archaeological collections for determining the nature of the alloys used, the technical knowledge employed in object production, and the
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mass ejections, and the rapid expansion of research into exoplanetary radio emissions using large radio telescopes (NenuFAR, LOFAR). Methods Use and processing of space-based (radio, particle, magnetic
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controlling the long-term fate of naturally occurring radionuclides within this matrix remain poorly understood. In particular, the processes responsible for the progressive decrease in their mobility over time
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skills: o Knowledge of plasma physics, laser physics, laser-matter interaction o Proficiency in scientific programming languages (Python required, C/C++ appreciated) o Skills in data processing, physical
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program. Synthetic digital polymers represent a valuable alternative to natural macromolecules like DNA for data storage at the molecular scale, especially thanks to a higher versatility and coding capacity
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-processing, and visualization. Transferable Skills • Scientific writing skills in English (good written and oral proficiency required). • Ability to work independently and tackle complex scientific problems