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systems absorb disruption and continue to function. This complexity underscores the need for approaches that support collaborative problem-solving and adaptive capacity. In this regard, Problem-Based
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population data will be considered a strong advantage. The ideal candidate is comfortable learning new analytical methods and working with large and complex datasets. Qualification requirements PhD stipends
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unique research infrastructure and lab facilities to conduct world-leading fundamental and applied research within communication, networks, control systems, AI, sound, cyber security, and robotics
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, cybersecurity, human-computer interaction, social networks, fairness, and data ethics. Our research is rooted in basic research and centres on mathematical models of the physical and virtual world, as a basis for
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– Entrepreneurship and Place: How Entrepreneurs Manage Evolving Relationships Across the Life-cycle is a Marie Skłodowska-Curie Doctoral Network (MSCA-DN) funded under Horizon Europe. The project aims to train a new
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sound, with human speech at the pinnacle of complexity. Like human babies, songbirds learn their vocalizations early in life from a social tutor. Numerous parallels to human speech learning, including
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complex anatomical structures such as blood vessels, the bronchial tree, and endoscopic pathways. Despite their potential, challenges remain in accurate modeling, sensing, and control due to their highly