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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 2 months ago
Text-to-Video Generation Models Supervision : Dr Stéphane Lathuilière (INRIA-UGA) Funding : BPI contract Contexte : Recent advancements in generative AI, and in particular diffusion models [1,2], have
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requirements for training data, memory, and computing power while maintaining a high level of accuracy. Particular attention will be paid to the explainability and embedding of the models to facilitate
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lithium-ion battery models, including aging and operational constraints • Design and implement decision-support tools for industrial use cases • Analyze real or simulated fleet data • Publish research
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 2 months ago
rely on the integration of multiple heterogeneous models and data sources, such as sensor observations, simulation models, geographic information systems, and domain knowledge bases. Ontology alignment
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simulation codes such as Geant4 and/or multiscale modeling approaches will be considered an asset. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR5822-FLOJAC-103/Default.aspx Requirements
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simulation, in particular via Variational Quantum Simulation (VQS) [Hamza Jaffali et al. H-des: a quantum-classical hybrid differential equation solver. Physica Scripta, 2026] Where to apply Website https
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collaborative research project on the topic of neuromorphic photonics using organic materials. Research activities include: - Design and modeling of integrated photonic components using electromagnetic simulation
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the unique features of myosin 18 enable it to fulfill its regulatory role, using modeling and simulation approaches. Various computational methods will be employed to investigate the structural and dynamic
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Inria, the French national research institute for the digital sciences | Grenoble, Rhone Alpes | France | 2 months ago
developing a complete end-to-end deployment pipeline for AI models, specifically utilizing the Aidge platform and its compilation infrastructure. This infrastructure serves as the software foundation
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requires very long simulation times which may only be achieved using frugal numerical approaches or reduced-order models. Below are listed some possible activities of the successful candidate. Some of these