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Inria, the French national research institute for the digital sciences | Saclay, le de France | France | 2 months ago
) Collaborative Context and Expertise Since 2018, EDF has been studying the construction of meta-models based on deep neural networks (i.e., deep learning). Initially, based on fluid simulations using Code_Saturne
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 2 months ago
collaborative research project between Inria in France and DFKI in Germany. The project aims to advance AI-based translation technologies for French Sign Language (LSF) and German Sign Language (DGS), covering
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Inria, the French national research institute for the digital sciences | Villeurbanne, Rhone Alpes | France | 25 days ago
, within the PRIVATICS team in Lyon, with close collaboration involving CNRS/LIRIS Lyon and Inria Lille (MAGNET Team). The project is funded by INESIA’s initiative on the evaluation of AI. The scientific
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 2 months ago
Will Gain from This PhD This PhD offers the opportunity to: Develop highly sought-after skills in knowledge engineering, semantics alignment, and collaborative innovation. Collaborate with leading
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computational inference (SuperStoc group, ERC), with strong ties to experimental collaborations within the Turing Centre for Living Systems (Centuri, Aix-Marseille Université). The thesis will combine theory
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collaborations with biophysics laboratories. The project lies at the intersection of artificial intelligence, machine learning, computational physics, and molecular biology, and aims to contribute new
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annotating geographic changes in data from various sources (satellite or collaborative sources such as OpenStreetMap, for example). The approach combines artificial intelligence (AI) techniques
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the context of a PEPR project, in collaboration with eight CNRS and CEA laboratories working on the future of electrical grids. More specifically, it is linked to WP5, dedicated to cybersecurity and network
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collaborative project. Under the joint supervision of Dr Nikolski and Dr Engelhardt, the candidate will become an integral part of both teams. The PhD candidate will develop and apply AI/bioinformatics
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archaeological and historical contexts is also required. Additionally, the ability to perform *ad hoc* data processing (multivariate statistics, machine learning, etc.) is desirable. Proficiency in programming