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automotive networks Explore and implement reinforcement learning algorithms for secure, real-time traffic scheduling and flow reconfiguration Conduct testbed-based evaluations using automotive-grade hardware
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opportunity to choose between two missions: • Mission 1: Improve new automated algorithmic schemes to quickly, efficiently and robustly detect and extract recorded geophysical signals related to earthquakes
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single needle, a robotic platform introduces complex motion control challenges that require the development of adaptive toolpath algorithm. This algorithm will ensure continuous and smooth deposition while
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gradient naturel sont explorées pour résoudre les problèmes computationnels et prendre en compte le biais implicite des algorithmes d'optimisation. #### **Applications** - **Interface Utilisateur
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into refining computational strategies for large-scale molecular simulations in materials science and computational physics. The project will involve substantial numerical development, including algorithm design
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training, as well as on machine learning or generative AI models. Technology watch on AI recommendation models and optimization of recommendation algorithms. Implementation of the recommendation engine
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algorithms where the agent can propose updates to its own world model structure, but these updates are only accepted after a formal verification step confirms that the new model still adheres to its core
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compatible with in vivo imaging still needs to be developed. In practice, the first part of this project will involve familiarizing the student with algorithms for measuring cell motility in traditional FF-OCT
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of Opportunity (SOP) for geolocation. The laboratory has developed algorithms to perform geolocation using such signals. We now wish to move on to an experimental phase. The mission will take place at the SAMOVAR
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8 Oct 2025 Job Information Organisation/Company Universite de Montpellier Department Human Resources Research Field Mathematics Mathematics » Algorithms Mathematics » Applied mathematics Researcher