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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 12 days ago
Representation, Database Theory and Logics have made impressive progress to design fragments of logic for which satisfiability is decidable such as Guarded Fragments, Description Logics and proposed different
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fundamental understanding of climate change and its impacts, extending to the development of prototype climate services co-designed by stakeholders and climate modeling experts. The goal is to accelerate
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queries within embedded knowledge graphs. It will involve designing or adapting efficient indexing structures tailored for vector databases and exploring hybrid neurosymbolic techniques to enhance query
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Matter Chemistry (ICMCB) focuses its research on Solid State Chemistry, Materials Science and Chemistry and Process: designing, preparing, shaping and characterizing materials in order to discover, control
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-term reliability. While various contact engineering strategies have been explored, further innovation is needed to enable the widespread adoption of OTFTs in commercial applications. PhD Objectives
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about material sciences: how far can we exploit the knowledge gained by these fundamental investigations towards designing efficient, general-purpose LH materials, applicable to functional light energy
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of the chosen nanorod mixture. The overall aim is to design systems that spontaneously self-assemble into assemblies with a target (crystalline or quasicrystalline) symmetry within each layer. This project will
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, symbiosis, methanogenesis, etc.). - Link events to genomic function and context: functional enrichments, proximity of mobile elements, recombination hotspots; establish predictors of genetic innovation
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macroscopic designs for soft-tissue healing. The project will be conducted using in vitro models of bacterial adhesion and fibroblast proliferation in collaboration with University of Gothenburg and in vitro
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well as decentralized machine learning algorithms for large-scale clouds with dynamique parameters. -- Conception of machine learning algorithmes for resource allocation -- Numerical experiments -- Drafting research