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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 | about 5 hours 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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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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. 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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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 6 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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based on graph theory and complex networks for the analysis of structured data. The research will investigate computational approaches for representing and analysing relationships between entities through
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 10 days ago
pipelines and export of human interpretable format(s) (graphs/figures, tables, etc...); processing, analysis, and display. Experience in engineering and graph database work. Experience programming in Python
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: “The Biomedical Data Translator.” https://ncats.nih.gov/research/research-activities/translator These programmers will develop the following components to be incorporated into the ARAX (https://github.com/RTXteam
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for a/an University assistant predoctoral - PhD Position in Graph Learning 39 Faculty of Computer Science Startdate: 01.05.2026 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1