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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description To design, optimize, and implement experimental protocols in cell biology
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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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that are transforming many sectors today through language models, recommendation systems and advanced technologies. However, modern machine learning models, such as neural networks and ensemble models, remain largely
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prospects for improving energy efficiency and decentralization (adaptation to local energy sources). There is no universally optimal cycle; optimality depends on precise specifications defining the objectives
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industriels représentatifs. La valorisation des travaux est prévue sous forme de publications dans des revues internationales (Tribology International, Surface & Coatings Technology…) et de communications dans
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this Ph.D. topic proposal: • The optimal approximation of 3D shapes using meshes is known to be a NP-hard problem. This means that finding the best possible mesh representation for a given shape, while
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Laboratoire National de Métrologie et d'Essais - LNE | Paris 15, le de France | France | about 1 month ago
needed to improve the robustness and avoid over- or under-segmentations. With the rapid development of Artificial Neural Networks related techniques in computer vision, data-driven methods are developing
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Inria, the French national research institute for the digital sciences | Villeurbanne, Rhone Alpes | France | 2 months ago
develops various tools such as the Faust programming language (a DSL for Real-Time audio DSP), Syfala (a tool to facilitate the programming of FPGAs for real-time audio DSP), and FloPoCo (a generator of
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unfold in several steps: 1. Extending existing FSPMs (e.g. MAppleT via OpenAlea): automatic generation of tree structures using large language models and neural networks (transformers, VAEs), trained
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therapeutic targets 2/ Leveraging the digital revolution by optimizing the analysis of available patient data through artificial intelligence and new connected devices ; 3/ Encouraging transdisciplinary