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anticipation capabilities in a highly dynamic context. · Model-based and data-driven shared human/vehicle control: o Mechanisms to enable driver trust; estimation of trust metrics and human cognitive
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particle validation; (2) the robustness of learning models, which is strongly dependent on data quality, representativeness and evolution, particularly with the emergence of new ammunition types and lead
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Doctoral Candidates to develop innovative AI-driven solutions for intelligent, resilient and sustainable water systems, contributing to the digital transformation of one of the most critical infrastructures
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integration of theoretical and experimental approaches to redefine biological questions, develop innovative experimental strategies, and enhance data analysis and modeling of complex biological systems. It aims
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Development (IDO). Theseresearch areas aim to improve our understanding of how innovative and responsible approaches are adopted atindividual, organisational, and societal levels, and to assess their impacts