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(MERCE). The main objective is to develop safe planning and reinforcement learning algorithms with various degrees of confidence for variants of Markov decision processes. More precisely, we will develop
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algorithms to enhance path efficiency through a closed-loop control, as established for DIW. The thickness control of the extruded material is also strategic, and depends on multiple factors such as viscosity
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Inria, the French national research institute for the digital sciences | Saint Martin, Midi Pyrenees | France | 2 days ago
the training. This approach has multiple benefits. First, there is no need to store and move a huge pre-created data set: float matrices of data can take terrabytes of memory, and reading them from the disk
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Laboratoire National de Métrologie et d'Essais - LNE | Paris 15, le de France | France | 24 days ago
on the primary data. They are often captured from multiple scans made from different locations to unspecified surface locations. This introduces novel sources of uncertainty while potentially reducing the impact
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optical medical devices. The works is aiming to develop optical devices and processing algorithms to guide neurosurgeons during the intraoperative neurofunctional assessment and connect these optical
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in the group optical medical devices. The works is aiming to develop optical devices and processing algorithms to guide surgeons during cancer surgery using fluorescence measurements. The post is based
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2 Sep 2025 Job Information Organisation/Company CNRS Department Maison de la Simulation Research Field Computer science Mathematics » Algorithms Researcher Profile Recognised Researcher (R2) Country
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catheters – i.e., equipped with multiple electrodes – are increasingly used as they facilitate the electroanatomic mapping of the atria before the ablation phase. However, most ablation strategies neglect
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well as in the design of machine learning algorithms (ANN, SVM, Decision Tree, and Random Forest) applied to healthcare, will be particularly valued. Proficiency in programming tools (Matlab) and statistical
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minimizing error and maximizing efficiency, is computationally challenging—no known polynomial-time algorithm exists to solve it optimally in all cases. Because of this complexity, researchers typically rely