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Postdoctoral Researcher – Ontology and Knowledge Graph Engineering, you will be contributing to the ongoing development of a general and interoperable modular architecture to build federations of simulation
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on knowledge graphs and graph neural networks. Health data is indefinitely siloed, split across various systems and formats, using different ontologies, making it challenging to integrate, harmonize, and analyze
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collaboration, and who have experience in the following areas (with the first being the most important): Semantic web technologies and knowledge graphs (RDF, SPARQL, SHACL, etc.) Large language models (LLMs
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) at Northeastern University London (NUL) is looking for an exceptional candidate to fill an open Postdoctoral Research Associate position in Network Science, Graph Machine Learning, and Cognitive & Social Sciences
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Description SOB/D110/2025/01/GR-7043 1 postdoctoral research position in the scientific project “Structural and algorithmic properties of hereditary graph classes” financed by the National Science Center (grant
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computer science with very good results - Interest on topics around the area of distributed systems and data management - Basic knowledge in distributed systems and graph algorithms is desired - Hand-on experience
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learning methods. Develop deep learning architectures (e.g., variational autoencoders, graph neural networks, transformers) for cross-omics data representation and feature extraction. Apply multi-view
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employment may be available at the end of the initial 2.5 years. The successful candidate will conduct research in the area of Artificial Intelligence and Data Analysis in relation to topics such as graph and
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Shai Evra Graph theory, representation theory, number theory Yoel Groman Symplectic Geometry Adi Glucksam Complex analysis, Potential theory, and Dynamics Or Hershkovits Geometric Analysis
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expressions when the matrix sizes are unknown at compile-time. The project aims to address the problem using e-graphs. An e-graph is a data structure commonly used in automated theorem provers and recently