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#content5-406934 , is participating in cutting-edge CELTIC MECON research project, focusing on network automation in 6G network architectures. The candidate aims to work in the following areas: Machine
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machine learning, with the goal of revealing how genome architecture shapes physiology, ecology, and evolution. Unlock hidden biological patterns while developing key computational and academic skills. Your
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infrastructure. For reduced (CapEx) costs, greater flexibility and faster evolution, mobile core/radio network functions today are largely realised in software over commodity computing hardware in private/public
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PhD funding opportunity Do you have an Architectural Degree and are interested in the sustainable intervention of built heritage at risk? Are you curious about how digital recording technologies can
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driver of primary production, yet anthropogenic discharges from agriculture and aquaculture often lead to eutrophication. This project will develop innovative sensor software capable of quantifying a suite
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PhD funding opportunity Do you have an Architectural Degree and are interested in the sustainable intervention of built heritage at risk? Are you curious about how digital recording technologies can
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computationally represent and learn evolving team norms in HI systems? How can we design AI agent architectures that integrate team norms into their decision-making processes to ensure that both AI and human
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structural design, 3D printing robots, sensors, safe and efficient human machine interfaces, processing units, and software components into a cyber physical construction system. The result would be
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mathematics, theoretical physics or computer science. Some programming experience is compulsory and the applicants should be keen to develop their programming- and software development skills. Strong written
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architecture Design software architectures, and develop software libraries and perform computational simulations Lead the development of a state-of-the-art immersive visualization facility Lead the development