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evaluate innovative methods based on generative models and Vision-Language Models. Design, implement, and validate deep learning approaches for vision applications. Publish research results in leading
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to identify and model the most efficient catalytic sites on NDs using advanced Density Functional Theory (DFT) calculations. The project seeks to revolutionize the design of ND-based catalysts by controlling
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 4 days ago
work algorithm design and their theoretical analysis numerical simulations writing scientific papers Where to apply Website https://jobs.inria.fr/public/classic/en/offres/2026-09888 Requirements Skills
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strong interest in machine learning. Additional Information Benefits WHY JOIN US : 👉 Friendly working environment in a small, dynamic team 👉 Stimulating innovation ecosystem (startups, students, research
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 8 days ago
science, and energy systems, with applications in smart mobility, electric vehicle integration, and power grid management. It contributes to the design of decision-support tools for infrastructure planning
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of materials. The main activities will include: – adapting the generative LegoXtal code to the design of MOF coordination polymers and porous materials by assembling elementary molecular bricks in the generation
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Institut Polytechnique de Paris, is one of France's top 5 general engineering schools. The mainspring of Télécom Paris is to train, imagine and undertake to design digital models, technologies and solutions
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modeling with deep learning for the analysis of hyperspectral imaging data. The researcher will be responsible for the design and development of numerical models, including neural network architectures
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analysis components and is part of a collaborative effort within the PEPR Cell-ID network. The successful candidate will be responsible for: ● Designing and implementing chromatin tracing experiments (Hi-M
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). Deep learning has been used to perform this mapping from UAV (Batista et al., 2025; Chudasama et al., 2024; Lambert et al., 2025) or satellite imagery (Mattéo et al., 2021), at both very high resolution