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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 15 days ago
fields including health, agriculture and ecology, sustainable development. More information, please visit https://team.inria.fr/scool/projects Odalric-Ambrym Maillard is a permanent researcher at Inria. He
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fellow will carry out the development of theoretical and methodological formalisms in relativistic quantum chemistry, as well as their implementation (Python). The position is within the BRUNCH project
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a collaboration between Inria and Mitsubishi Electric R&D Centre Europe (MERCE) within the FRAIME project on artificial intelligence and formal methods. The project explores, on the one hand, how
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about the financialization of capitalism, it often neglects the extremely profitable informal, illegal, and illicit financial markets, which are increasingly connected to formal global finance
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: Verifiable world models. The research will focus on developing a new class of structured, verifiable world models that integrate the flexibility of deep learning with the rigor of formal methods and
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 2 months ago
Website https://jobs.inria.fr/public/classic/en/offres/2025-09541 Requirements Skills/Qualifications Eligible candidates should have a PhD in computer science. Experience in formal methods or in
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nanoparticles, whose manufacture is generally based on “trial & error” methods. Thus, the aim of TOSCaNA is to develop an experimental approach and a CFD formalism for predicting the size and morphology of metal
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, contact or collision sensors, proprioceptive arrays) on mobile platforms (wheeled/rolling and/or aerial). Designing and integrating a soft shell for protecting the robot from collisions. Developing methods
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-oriented features, present a large attack surface that traditional verification techniques—such as formal methods—struggle to cover. To effectively mitigate this growing threat landscape, vulnerability
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training an autonomous agent to ‘learn’ a control strategy. This formalism is similar to that of optimal control, with the difference that the agent does not have an explicit model of the dynamics