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industrial practice relies heavily on empirical optimisation, leading to inefficiencies in energy use and impurity removal. This PhD project proposes to develop a Coupled Computational Fluid Dynamics-Discrete
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computer simulations by developing fundamentally innovative and advanced protection strategies. To enhance the reliability and safety of low-voltage networks with a high penetration of power-electronic
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-grade experience that employers value. The journey You'll develop machine-readable privacy rules, build core functionalities that audit and explain data-sharing decisions, prototype agent systems showing
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Met’s Doctoral College community, benefiting from specialist training, collaboration opportunities, and professional development. This is an exciting opportunity for a motivated researcher passionate
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to develop cutting-edge quantitative and applied environmental skills with real-world impact. It is a fully funded NERC CENTA PhD Studentship for 3.5 years with CASE support from BASF. Successful home-fees
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modelling frameworks to provide detailed characterisations of design conditions for large scale turbine arrays. The developed models and understanding will be used alongside standard flow models and as input
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Department and aims to develop on-going work on the decision support system. Project aims and objectives This project aims to develop new, scientifically valid applications of skeletal data extracted from
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to address climate change. To bridge this gap, this project will characterise wildfire charcoal from historic fires with known ages (years to decades to 174 MA old) to examine compositional evolution and
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part of such exploration, the procurement or development of relevant workloads that are representative of real-world behaviours impacted by the design decisions of the networks under study should also be
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Julich’s power linear plasma devices and heat flux facilities. This study will focus on developing an engineering understanding of the effect of fusion-relevant plasma exposure and extreme heat loads