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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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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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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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developed quantum light sources based on artificial atoms known as semiconductor quantum dots. These quantum emitters, carefully integrated into optical cavities, generate indistinguishable single photons
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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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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
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developing research work on self-assembled metamaterials for the past ten years. Metamaterials are artificial materials whose structure is designed to induce specific properties of wave propagation, possibly
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polariton accelerator” will exploit exciton–polaritons to implement artificial neural networks directly in hardware rather than in software. Exciton–polaritons are hybrid quasiparticles composed of light
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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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: • PhD in Geography (Remote Sensing, Geomatics), Computer Science, Agricultural Sciences • Skills and/or knowledge in artificial intelligence (Machine Learning) and programming: proficiency in Python