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-making methods powered by supervised and reinforcement learning, which aim at trustworthiness in AI-assisted human control with augmented cognition, hybrid human-AI co-learning and autonomous AI, with
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PROGRAMME AND TRAINING: The research fellowship is situated at the intersection of human-centred Artificial Intelligence, production management, and AI systems governance. Its objective is to investigate how
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: Participation in a European project (AI4REALNET) that aims to integrate human contextual information into the interaction between an operator and the system that provides AI-based suggestions. The work will
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project aims to investigate novel computational representations of gastric mucosal appearance that bridge human perception, biological processes, and artificial intelligence. The research will explore how