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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 11 days ago
, heterogeneity, and collaboration. Contemporary ecosystems, from scientific knowledge graphs and industrial digital twins to cross-organizational analytics platforms, must manage continuously evolving, jointly
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The research is in the field of artificial intelligence for science (AI for Science). The primary mission is to overcome technical bottlenecks related to the representation of complex scientific data (graphs, 3D
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’ questions [1, 2]. Methods known as (Graph) Retrieval Augmented Generation (RAG) make it possible to adapt the educational assistant to the pedagogical context (structure and content) in which it is
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). This domain adaptation is crucial to ensure the generalization of the model to different types of sensors and environmental conditions. This aspect could notably be addressed by implementing graph-based
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Overview This post is funded by IAA project at the University of Sheffield, in collaboration with Oxford Quantum Circuits. The project is titled “Quantum-enhanced Anomaly Detection with Graph Neural
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Models, Knowledge Graphs, and related fields (e.g., Graph Machine Learning) Tasks: scientific research in at least one of the following areas: Natural Language Processing, Knowledge Graphs, Machine
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 14 days ago
of hybrid modeling frameworks for electromobility, combining physical models, graph-based representations, and data-driven approaches. It aims at integrating large-scale mobility data to improve
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. This project focuses on fundamental algorithmic questions on geometric networks and, in particular, on geometric intersection graphs: graphs whose nodes correspond to disks or other objects in the plane and that
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Knowledge Graph. Together, you will work on: Developing and extending the Helmholtz KG data model, translating scientific and infrastructure requirements into robust, maintainable schemas and ontologies
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 20 days ago
macromolecular dynamics, as well as collaborations with the European MDDB initiative. The candidate will develop new graph transformer architectures to learn conformational heterogeneity from molecular dynamics