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Inria, the French national research institute for the digital sciences | Grenoble, Rhone Alpes | France | 2 months ago
publications and strategic collaborative projects. Where to apply Website https://jobs.inria.fr/public/classic/en/offres/2026-10288 Requirements Skills/Qualifications Technical Expertise: Advanced Compiler
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to have a sound basis in discrete math, graphs, propositional logic, and algorithms. Some background in complexity theory would be an advantage. Due to the international supervising team, the working
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, particularly Graph Neural Networks (GNNs), which show great promise. These methods have already demonstrated performance at least comparable to current Track Finding algorithms, with significant room for further
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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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al., “Deep Transfer Learning for Fault Diagnosis”, IEEE Transactions on Industrial Electronics, 2020. • Zhang C. et al., “Graph Neural Networks for Power Systems”, Electric Power Systems Research, 2023
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: https://www.list.lu/ How will you contribute? You’ll be working on a production-grade Retrieval-Augmented Generation (RAG) system purpose-built for KYC and fund due diligence. The system must read and
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, rooted in digital sciences, mobilizes knowledge engineering, including ontologies and semantic graphs, in order to structure heritage data and model chains of evidence, drawing on standards such as CIDOC