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-physical systems secure and resilient in the presence of uncertainty and cyber-physical attacks? Then you may be our next PhD candidate in resilient and learning-based control of cyber-physical systems
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and democratic participation of citizens. You will focus on developing adaptive learning systems that enhance the transparency and contestability of AI decisions through personalized, multimodal
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participation of citizens. You will focus on developing adaptive learning systems that enhance the transparency and contestability of AI decisions through personalized, multimodal explanations. Your job AI is
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diversification and change we see across languages today. Job description This 4-year PhD project will use group communication games and artificial language learning experiments to investigate the role of social
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well‑developed social skills that enable effective collaboration within a team, and you are driven by curiosity, resilience, and a continuous desire to learn and innovate. Moreover you have: MSc in
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optimization methods for run-time network configuration and control. You will design efficient and lightweight learning-based techniques for automated scheduling, network resource allocation, and parameter
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, learning, and social interaction, shaping cognitive development across the lifespan. While children typically acquire language with remarkable ease, language learning becomes more challenging in adulthood
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to learn more about what it’s like to pursue a PhD at Radboud University? Visit the page about working as a PhD candidate . A PhD track at Radboud University gives you room to follow your own interests and
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methods for evaluating intelligence in people are not suitable for AI and vice versa due to inherent differences in learning, memory, and processing between these systems. This project develops
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by supervising tutorials or assisting during practicals. This position has a teaching load of up to 10% of your working time. Would you like to learn more about what it’s like to pursue a PhD at