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learning for interconnected systems (e.g., 6G and Edge AI platforms, self-driving vehicle vision) in collaboration with industry partners and domain experts. This PhD thesis is offered in the context
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Vacancies PhD on Integrating Sustainability and Systems Thinking in Engineering Education Key takeaways The CLEAR initiative (Chemistry Learning for Environmental Action and Responsibility) is an
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learning experiences. Part of your work will involve designing and testing new educational interventions in collaboration with teaching staff. You will work in a multidisciplinary team environment, and
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forensic psychiatry collaborate with societal stakeholders, including youth organisations and police, to improve emotion regulation at moments when it is needed most. The project is a unique collaboration
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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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machine learning libraries. Familiarity with collaborative coding environments (e.g., Git) and working on high-performance computing (HPC) clusters is an advantage. Good scientific writing and communication
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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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staff position within a Research Infrastructure? No Offer Description Job description The offered position is a PhD research trajectory within a collaborative project entitled Maintain Muscle and Brain
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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