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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 11 hours 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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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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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
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–pollutant interactions, organoids-on-a-chip, and decellularized ECM (dECM), while LMCD specializes in biocompatible hydrogel design and characterization. Novel hydrogels will be developed from dECM, modified
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used to develop networks capable of self-learning and self-optimisation, adapting to real-time changes in traffic and demand. The successful candidate will contribute to designing solutions that optimise
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from this rich scientific environment offered by those institutes located on the GIANT innovation campus.
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Wikibase instance Curate and model historical migration datasets within the dedicated Wikibase instance Contribute to the design of ontologies and metadata schemas for the knowledge graph Develop data-driven
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that shape the design of these circuits. The lab is dedicated to medical algorithmics on the applied research front, emphasising technologies implementable within hospitals. Notably, the lab’s medical image
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evolutionary conservation across vertebrates in terms of muscle pattern and innervation modes (1–3). The coexistence of both vulnerable and resilient muscles within the same organism provides compelling in vivo