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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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associated diseases. As the laboratories comprise members of several nationalities, proficiency in English is essential. In Drosophila, approximately 12 hours after puparium formation, the head rapidly everts
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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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biology approaches. • Previous work on neurobiology of marine systems or of genetic models is preferable. • Fluent (B2+) in oral English The Plankton Senses Team is looking for a highly motivated and
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Research Agency (ANR) as part of the HIPOBAT project of the PEPR Batteries (reference ANR-23-PEBA-0008). More information on the PEPR website: www.pepr-batteries.fr . Where to apply Website https
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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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PhD thesis student (f/m) at ESRF and University of Bath to study CO₂ capture by coupling X-ray Raman
University of Bath’s English language entry requirement (https://www.bath.ac.uk/corporate-information/postgraduate-research-degrees-english-language-requirements-for-international-students/ ). If the applicant
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STLO) (https://eng-stlo.rennes.hub.inrae.fr/ ). This work is part of the “Predicting the browning of dairy powders by kinetic modeling of Maillard reaction and caramelization during drying and storage
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Inria, the French national research institute for the digital sciences | Villeurbanne, Rhone Alpes | France | 23 days ago
-supervised by: Mohamed Maouche, Researcher at Inria Raouf Kerkouche, Researcher at Inria Sonia Ben Mokhtar, Researcher at CNRS Scientific context Recent advances in Large Language Models (LLMs) have enabled