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. A critical challenge concerns how to actively engage citizens in urban decision processes through Digital Twins in ways that are informed, responsible, and cognitively meaningful. Participation cannot
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of effectiveness shifts when the objective is functional rather than purely hedonic. By leveraging AI to process the complexity of multi-modal data, this project aims to provide a robust, evidence-based toolkit
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, Communication Engineering, Computer/Data Science, Mathematics, or equivalent; – knowledge in artificial intelligence, image/signal processing, remote sensing, and radar remote sensing. Where to apply Website
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theory, contributing to the understanding and design of novel materials for extreme environments and to improved modelling of nuclear processes. Expected outcomes include validated computational tools, new
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Engineering, Communication Engineering, Computer/Data Science, Mathematics or equivalents; – background in artificial intelligence, image/signal processing, remote sensing, passive/active sensors. Where
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required staff training, process redesign and collaboration among diverse experts to adapt systems and practices. Consequently, new tools and methods were developed to support organisations (Bhalavat et al
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they struggle to process speech affected by medical conditions such as dysarthria, aphasia, or dysphonia. This research will develop multimodal models that can recognize unusual acoustic patterns and
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Cognitive Science within the Project “Transparency in bodily and vocal signals: a tool for metacognition” (MUR_FIS_Fondo Italiano per la Scienza – CUP E53C25003260001) on specific topic; 1 grant by
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Science, Telecommunications, Applied Mathematics, or related fields; Solid background in probabilistic modeling, Bayesian inference, information theory, and/or machine learning; Experience with signal processing or decision
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programs offered by Bocconi University and acts as a point of reference for the University's PhD candidates. PhD candidates have the opportunity to advance their knowledge and conduct research, with