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developing cutting-edge computer vision and deep learning aimed at optimising inspection and monitoring of infrastructure. Applying these advanced technologies to real-world infrastructure challenges through
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developing cutting-edge computer vision and deep learning aimed at optimising inspection and monitoring of infrastructure. Applying these advanced technologies to real-world infrastructure challenges through
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enrolled for PhD at the University Marie et Luis Pasteur, Besancon, at the CNRS laboratory FEMTO-ST and will work on leveraging advanced reinforcement and evolutionary learning techniques (e.g. co-variance
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language models, machine learning, and experience or an interest in applications to science. The Manchester Institute of Innovation Research is a world leading centre for the study of science and innovation
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language models, machine learning, and experience or an interest in applications to science. The Manchester Institute of Innovation Research is a world leading centre for the study of science and innovation
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-based products, is among the areas that more quickly is adopting AI. Machine learning (ML) algorithms are being developed and integrated in microscopes for its autonomous operation and in software
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This PhD project will investigate the recent field of study of Causal Machine Learning, which aims to modify and augment Machine Learning by using Causal Analysis techniques as a way to solve its