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tools capable of integrating, modeling and interpreting this wealth of information. It is in this context that artificial intelligence (AI) approaches, particularly deep learning, offer considerable
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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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, Heudiasyc has been closely tied to the CNRS and is affiliated with the INS2I division (Information Sciences). Its research activities span computer science, automation, robotics, and artificial intelligence
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Inria, the French national research institute for the digital sciences | Bures sur Yvette, le de France | France | about 1 month ago
physiological and neural recordings (EEG, fNIRS, ECG, blood pressure, and PPG) with advanced signal processing, mathematical modeling, and artificial intelligence. This project aims to provide new insights
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of EXOSTECH is to fill this gap. The methodology is based on the development and application of innovative principles such as the integration of tribology with artificial intelligence to study use-wear patterns
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. - Knowledge in programming, data treatment, electron diffraction simulations, mathematical skills, knowledge about machine learning and artificial intelligence is a plus. Website for additional job details
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on research projects related to antibioresistance and the development of modeling, bioinformatic and artificial intelligence tools - apply for national and international research grants - contribute
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: This project is an interdisciplinary effort at the frontier between Biology (Genetics, Genomics), Bioinformatics, Artificial Intelligence (Neural Networks) and Statistics (LMMs). The aim is to join the
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such as OPAL-RT, as well as experience in applying artificial intelligence and optimization techniques to energy systems for optimization and stability enhancement, is highly desirable Specific Requirements
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post-docs that are willing to work on this innovative project at the frontiers between behavioral pharmacology, artificial intelligence and neurosciences. Candidates with strong background in data