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respect to an infinitesimal perturbation of the dataset, provide a rigorous framework to: - **Identify the most informative samples** among the predictions of a deep neural network (DNN), with the goal
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PhD student (M/F) in Polymer Chemistry: Synthesis of cross-linkable, degradable and recyclable latex
, Polymerization, Processes and Materials Laboratory (CP2M, Lyon). IS2M and CP2M will leverage their respective expertise in emulsion stepwise polymerization and dynamic covalent networks to synthesize functional
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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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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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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 (CANs) are thermosets in which permanent covalent crosslinks have been substituted by exchangeable bonds creating a new family of polymer at the border of thermosets and thermoplastics.1 Despite
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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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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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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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renewable electricity and sustainable feedstocks, represent a promising solution, enabling deep decarbonization. DESIRE is a Marie Sklodowska-Curie Doctoral Network aiming to train 15 PhD researchers in