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). Identification of active modules in interaction networks using node2vec network embedding. BioRxiv. 4. Rossetti, G., & Cazabet, R. (2018). Community discovery in dynamic networks: a survey. ACM computing surveys
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) About the Project Deep learning models, and in particular large language models (LLMs), have demonstrated remarkable capabilities but remain limited by their heavy computational requirements, lack
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developments in audiovisual media distribution. Audio and video media distribution technologies have evolved significantly. The expansion of broadband networks has enabled the development of new video services
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for the scientific community to easily identify host organisms (animal, human) or environmental biosamples (freshwater, soil, wastewater) harboring new virome signatures. This comprehensive and up-scaled systems-level
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⁃ Communicating the results at international conferences and publishing them in international, open-access journals The postdoctoral researcher will be employed by CNRS (Délégation Paris Centre), and carry out
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 5 days ago
the objective of simulating the complete ECT problem, 2 main challenges have to be faced, and will be investigated during the post-doc. First, the 3D meshing challenge. The difficulties include embedded
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learning in neural networks within the ANR-funded MAPLE project, under the supervision of Dr. Bruno Loureiro . Funding is available for two years. Responsibilities Conduct research on the mathematical
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for data processing, accessible to the scientific community Specificities / Constraints: The researcher will work in a highly interdisciplinary and experimental environment, combining physics, mechanics
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the European Research Council (ERC) Starting Grant, aims to understand the molecular evolution and adaptability of Deltaviruses to new hosts. The host laboratory benefits from a network of local, national, and
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on the role of epigenetic dysregulation for future clinical applications, particularly on their common Mantle cell lymphoma (MCL) model, through their French networks (LYSA, Carnot Institute CALYM) and European