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. They are critical to the scaling of modern data centers, telecommunications networks, and advanced sensing applications in healthcare, mobility, and agrifood. This PhD position is focusing on the foundation
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expertise to address real‑world constraints—including scalability, interoperability, reliability, and manageability—while developing the telecom‑grade quantum networks. The PhD position is fully funded by our
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Vacancies PhD position on explainable DeepFake detection using Foundation models Key takeaways The challenge: In the past decades, photographs and videos of events were regarded as reliable evidence
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: In the past decades, photographs and videos of events were regarded as reliable evidence for both news media and forensic investigations. However, recent developments in AI technology now make
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safety margins are often required in structural design, leading to heavier structures, while maintenance intervals may be more conservative than necessary. Developing reliable methods to continuously
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device in hardware lab, not only in simulation; publishing your results in leading international conference and journals, and completing a PhD thesis within four years; presenting your work
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structures. The PhD positions Experimental characterization and digital twin development A key challenge in developing a reliable digital twin is accurately characterizing the static and fatigue behaviour
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understanding of how piping develops and help engineers assess and design safer, more reliable flood defence systems. In this PhD project, you will contribute to this challenge by advancing the modelling
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above 99% efficiency, the losses are small compared with the power being processed. Quantifying these losses reliably therefore requires more than a conventional power measurement. In this PhD project
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risk management. Reliable numerical models can improve our understanding of how piping develops and help engineers assess and design safer, more reliable flood defence systems. In this PhD project, you