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projects under senior supervision (2) Exchanging knowledge with the scientific community and the general public (3) Network-wide training in theory and methods (4) Complementary training courses (5
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for data augmentation, small language models, anomaly detection using learning methods, and explainability techniques for decision-making. The research will involve designing and developing prototypes
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, particularly in the context of large-scale critical infrastructures for communication and computing. They will develop and validate AI methods that are safe by respecting system boundaries and are prompt in
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to optimise the dispersion of said phases. – Evaluating variables related to catalyst synthesis, such as preparation method, active phase concentration, and nanoparticle morphology and size