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has focused enormously on visualising the nanoscale structure of trees after initiation, rather than investigating the underlying thermodynamic forces that drive their propagation. To address
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conduct literature reviews, develop models of various types (thermodynamics, data-driven) for predicting the systems performance, emissions, reliability and safety parameters, collect, collate and analyse
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. The developed new knowledge will assist performance designs, analysis, operations, and condition monitoring of sCO2 power generation systems. The project will be undertaken using the strong thermodynamic
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at the University of Oxford has world leading expertise in flow and temperature control and cooling technologies. The research will study systems and components that will minimize any thermodynamic penalties
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the Clean Energy Processes (CEP) Laboratory . The CEP team conducts research on fundamental aspects of thermodynamics, fluid flow, heat and mass transfer processes with applications to the development
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skills in fluid dynamics, thermodynamics, or computational modeling are a plus. Start Date: Flexible – 2025 entry Location: University of Sheffield, Leading UK university in partnership with John Crane Ltd
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. The overall aim of this PhD project is to analyse droplet impact mechanics along with the freezing thermodynamics under high airspeeds to gather important insights into ice adhesion behaviour. The experiments
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engineering or a relevant area. An MSc degree and/or experience and good knowledge in gas turbine theory, thermodynamics, Machine Learning, and computer programming will be an advantage. Funding Sponsored by