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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 6 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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). 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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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 | 8 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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: https://www.dropbox.com/scl/fi/ogp0biw4hs9fok3qqd0ni/Research-Scientist-1-JD.pdf?rlkey=v3u6zp7fey8devovmg10fq3hh&st=bntsjvjf&dl=0 REQUIRED: A Ph.D. in Computational Biology, Bioinformatics
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réécrire des requêtes en logique de description (DL) dans le nouveau standard de requêtes sur les graphes, GQL. En tirant parti de la puissance expressive de ce langage, nous cherchons à élargir
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 15 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
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 12 hours ago
, execute, and interpret computational experiments to uncover cell-type–specific and pathway-level mechanisms driving disease risk, progression, and resilience. Full job description is available here: https