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designing and developing experimental equipment suitable for containing the liquids at the temperatures needed, as well as optimizing the quality of the data obtained, both through experiment design and
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) have been developed in the past to describe the interaction of solar radiation with vegetation and they allow for the retrieval of major canopy characteristics. When these models are coupled with
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development over the last two decades. This research topic aims to define novel approaches to developing and combining these intelligences, utilizing both 1st and 2nd wave AI approaches, in the context
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contract(s) at the University of Vienna and type of contract(s) e.g. prae-doc or project staff Teaching duties why the original time plan needs to be extended (e.g. personal circumstances, care duties
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targets without compromising torque-speed performance. Aim This PhD project aims to develop a new generation of electric machines optimised for sustainability across the full lifecycle from material
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. The processes are energy-intensive, lead to rapid catalyst deactivation, and result in high CO₂ emissions. This project aims to address these challenges by developing electrified non-thermal plasma catalysis
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environmentally inadequate. This PhD research seeks to redress this imbalance by developing scientific strategies for the regeneration, selective disassembly, and material recovery of both mono-material and blended
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project will develop a rigorous theoretical framework to ensure both coordinated behaviour and safety in interconnected dynamical systems. You will design and analyse a two-layer control architecture
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problem-solving skills and deep expertise in the development of complex computational models. Candidates who have not yet acquired their PhD would be appointed at the Research Assistant level. The
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significant concentrations. Roadside bioretention systems are routinely considered as a runoff capture mechanism. Partnership investment programmes, Ofwat funded green economic recovery investments, and DEFRA