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. The candidate will study architectural models, including the placement and roles of quantum repeaters, memories, and control-plane functions, and how these integrate with classical networking and orchestration
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at a pilot facility. The candidate will develop a simplified, control-oriented dynamic process model. This model will be used to propose control structures and analyze them. An available complex steady
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operation in hybrid quantum–classical networks across intra- and inter-domain settings. The candidate will study architectural models, including the placement and roles of quantum repeaters, memories, and
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crack evolution in modern and vintage Francis turbine runner steels. The work combines systematic experimental fatigue testing under representative variable-amplitude loading with local fatigue modelling
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shelf lives, and additionally may change colour, texture, and stiffness rapidly. Further, the lack of standardised 3D models for the wide variety of products makes offline learning challenging. As a
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hydrodynamic load models. The purpose of this work is to increase the understanding of longlines with seaweed under sea loads and develop accountable hydrodynamic load models. Your supervisor will be Professor
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to waves and current at various stages of growth. The hydroelastic behavior of the seaweed is not sufficiently well understood, and hence there are no good hydrodynamic load models. The purpose of this work
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beneath solar panels. Analyse the technical and economic potential of agrivoltaics, including land use and business models. Study implications for mechanization, harvesting practices, and alignment with
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25th February 2026 Languages English English English The Department of Materials Science and Engineering has a vacancy for a PhD Candidate in machine learning and large language models (LLMs
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emerging standardization efforts. The emphasis is on mathematical modeling and quantitative indices, system-theoretic reasoning, and formal framework development rather than application-specific