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University, is recognized for its expertise in artificial intelligence and formal methods In this stimulating academic context, we will focus on the problem of explainability of artificial intelligence models
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systemic methodology to address this gap. It starts with a semantic, cultural, and contextual analysis of organizational activities down to the operational level. Indicators are modeled, measured, and
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models, multi-view computer vision, semantic graph-based representations, and self-supervised learning—to automatically interpret and understand complex surgical procedures. The overarching goal is to
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machine learning with the logical reasoning and semantic understanding of symbolic AI (often referred to as material and design informatics) is being developed for the accelerated discovery and development
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project MetaExplore, coordinated by the University of Cambridge (UK) (https://metaexplore.eu/ ). MetaExplore has been set up to provide young researchers with hands-on research experience and formal
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which -but not limited to- the lack of reasoning capabilities to output consistent arguments that convey formal logical relations beyond the surface level of arguments, their limited generalizability
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undertaken prior to arrival at AMU and the various practical formalities to be completed once in France: visas and entry requirements, insurance, help finding accommodation, support in opening a bank account
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-scalar spatio-temporal systems while proposing new frameworks for understanding urban dynamics through the combination of mathematical formalisms and geoinformatics. Methodologically, it aims
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not already in possession of a doctoral degree at the date of the recruitment. Researchers who have successfully defended their doctoral thesis but who have not yet formally been awarded the doctoral
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at the date of the recruitment. Researchers who have successfully defended their doctoral thesis but who have not yet formally been awarded the doctoral degreewill not be considered eligible. DC’s must