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, this PhD thesis will focus on the characterization of multipolar electrograms (EGM) through graph signal processing (GSP). The underlying hypothesis is that local propagation patterns in AF are associated
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Information Eligibility criteria Applicants must hold a PhD in graph theory and algorithms. A strong background in logic, graph decompositions, parameterized complexity, graph minor theory, and the theory
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with GREYC (UMR CNRS 6072), the computer science laboratory of Université de Caen Normandie, particularly in machine learning and graph-based approaches. Depending on the scientific questions addressed
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(7913), 319-324. https://doi.org/10.1038/s41586-022-04672-7 Hourcade, C., Juhel, K., and Bletery, Q. (2025). PEGSGraph: a Graph Neural Network for fast earthquake characterization based on Prompt
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and motivated PhD student to contribute to the development of the next generation of DNA computers, capable of processing large molecular databases. The project will combine concepts from molecular
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frameworks with the competencies actually required in professional environments. The project leverages competency frameworks, ontologies, knowledge graphs, occupational taxonomies, and job advertisement
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 2 months ago
., Scharffe, F., Todorov, K., & Trojahn, C. (2025). Graph Embeddings Meet Link Keys Discovery for Entity Matching. https://doi.org/10.1145/3696410.3714581 [6] Sousa, G., Lima, R., & Trojahn, C. (2025). Results
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essential for learning complex distributions over structured data such as text, graphs, and biological sequences. Developing and understanding models for dis- crete spaces is therefore a key challenge in
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Positions PhD Positions Application Deadline 28 Jul 2026 - 20:00 (Europe/Paris) Country France Type of Contract Temporary Job Status Full-time Offer Starting Date 1 Oct 2026 Is the job funded through the EU
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | 26 days ago
retrieval: reconstructing the original digital data from the sequenced symbols. This PhD project focuses on the first and fourth challenges, by developing joint compression and error-correction algorithms