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, robustness under varying turbulence, and autonomy for distributed systems. To address this, the group integrates Artificial Intelligence into AO control loops, using deep learning to handle sensor
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of electrical topologies (AC, DC, three-phase) and will integrate both standard and atypical wear cases. On this basis, high-performance artificial intelligence models will be developed. By combining neural
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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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, distribution of reinforcements), along with durability and recyclability. The research is further supported by artificial intelligence-based tools for modeling and optimization. The ultimate goal is to develop a
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, the environment and ecology, transportation, robotics, energy, culture, and artificial intelligence. Since the mid-2000s, significant research efforts have focused on textual entity linking, which involves
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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
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Post-doctoral Position in AI Causal models for Synchrotron Anomaly Detection H/F This post-doctoral position is part of a collaboration between LIAD (Laboratory of Artificial Intelligence and Data
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Modeling, Simulation, Design, 3D printing, Artificial Intelligence, Programming. Expected communication skills: English Additional Information Work Location(s) Number of offers available1Company
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of their life cycle. Recently, two technologies have emerged that offer new possibilities: high-throughput systems like flow chemistry, which can rapidly generate chemical data, and artificial intelligence (AI