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in this field. C. Grouin will cover computer science aspects and automated language processing. We will also collaborate with Vincent Génot, former director of the Plasma Physics Data Center at IRAP in
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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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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
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of experimental research methods; • Basic skills in statistics and data analysis; • Proficiency in at least one scientific programming language (R, MATLAB, or Python); • Strong analytical and organizational
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investigates behavioural and cognitive processes involved in major mental functions (perception, attention, memory, language and temporality). It explores the neural basis of these functions, as
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representation language. The thesis will particularly investigate approaches based on attributed graphs to model infrastructures, their topological relationships, inspection-derived observations, and the levels
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learning, particularly flow-matching generative models and protein language models. The research will focus on designing efficient generative models able to produce realistic conformational ensembles while
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bioinformatics/data analysis. The candidate should be able to work within a Unix environment, with the R-software (CRAN/Bioconductor) and ideally be familiar with another scripting language like Bash or Python. A
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Linux and a programming language (C/C++ or Python) is a plus but not mandatory. Location: PROMES CNRS Laboratory – Perpignan site Starting date: April 1st , 2026 at the latest Salary: Minimum gross