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aims to develop computational models to support the optimisation of plasma atomic layer deposition equipment. The PhD student will undertake numerical simulation, optimisation studies, and explore
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-compliant data infrastructures that enable secure data sharing, reuse, and AI-driven analytics Exploring and implementing federated learning and privacy-preserving AI approaches for distributed clinical
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largest hydrothermal methanol synthesis, exploring advanced modelling techniques to maximize yield and minimize byproduct formation. Scalability Studies: investigate the challenges and opportunities
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transdisciplinary research field that explores how technology can support health and sustainability through digitalisation, data-driven systems, and intelligent decision support. About the position This PhD position
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of the Second World War, the project explores how the events of the Liberation affected individual life trajectories, shaped narrative identity, and continue to circulate within families and in the social sphere
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in chemistry and a strong interest in exploring Life´s catalysts. The candidate must hold a master's degree in biochemistry and preferably have experience purifying native proteins, setting up
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explore how goal-driven AI agents can generate and execute robot programmes automatically while learning from and collaborating with human partners. The research will investigate hybrid approaches
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the environmental and economic impacts of emerging wastewater treatment innovations, exploring the trade-offs and socio-technical uncertainties that characterize early-stage technologies. Your work will support the
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practices. The research will explore factors such as remaining useful life of key components, turbine loading and structural integrity, regulatory constraints, supply-chain considerations, and evolving market
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studies of orbital currents and conversion mechanisms to optimize the performance of spin-orbit devices Moirés of orthorhombic van der Waals magnets Exploring and controlling curvature-induced non