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project FADOS focusing on a holistic approach of doping in organic electronics. The European Marie Sklodowska-Curie Innovative Training Network FADOS brings together 11 academic institutions, including
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that are transforming many sectors today through language models, recommendation systems and advanced technologies. However, modern machine learning models, such as neural networks and ensemble models, remain largely
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history (PhD) - Methods and tools for data production (in-depth knowledge) - Professional environment and networks (general knowledge) - Legal and ethical framework (in-depth knowledge) - Written and oral
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quality monitoring system. Potential applications will initially focus on drinking water distribution networks. The main sources of water pollution are relatively well documented in the literature
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Bordeaux. Cell membranes serve as dynamic interfaces between compartments, where intricate signaling networks converge, giving rise to emergent behaviors such as signal amplification, specificity, and
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global anthropogenic CO2 emissions. Decarbonizing the cement industry to achieve net-zero is particularly challenging because a significant fraction of CO2 emissions stems from the intrinsic chemical
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levels, offering strong networking opportunities to the student. Over the past decade, the field of attoscience has revolutionized our ability to observe the fundamental building blocks of matter, such as
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networks, ensemble algorithms, and other advanced architectures, the objective will be to accurately predict the state of health (SoH) of batteries in the short, medium, and long term, including under
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obtained from multi-sensor networks across urban areas. A novel synergy approach will be developed that combines observations of thermal stratification from microwave radiometers, profiles of wind and
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optimization of complex systems, intelligent data and information systems, as well as networks, distributed systems, and security. LIMOS stands out for its interdisciplinary approach, combining theoretical