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. Experience required: 1st or 2:1 degree in Engineering, Physics or other relevant discipline. Experience in computational modelling would be a benefit. Funding Notes This is a self funded project. View
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will join the delivery team and will be responsible for the workshop-based training delivery of the Engineering Levels 3 through to 6 of the apprenticeship programme. You will also be responsible
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Decarbonising construction: Advanced spectroscopic approaches to understand nanostructural development and phase evolution in high-performance, low-carbon cements School of Chemical, Materials and Biological Engineering PhD Research Project Directly Funded UK/EU Students Dr Brant...
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Machine tool dynamics-based digital twins for real-time monitoring of cutting tool conditions in smart manufacturing
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Multi-Material Laser Powder Bed Fusion for Next-Generation Additive Manufacturing
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, assessment, and student support to enable effective learning Contribute to the development of programme modules that are accessible, inclusive and contribute to the University’s Teaching and Learning Strategy
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in biodiversity data science, especially in the statistical computing environment R. Opportunities also exist to harvest the power of the new technologies revolutionising the study of marine
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Avalanche photodiodes for detecting weak infrared optical signals School of Electrical and Electronic Engineering PhD Research Project Self Funded Prof Jo Shien Ng Application Deadline: Applications accepted all year round Details Would you like to develop novel semiconductor infrared sensors...
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the validity of the relevant literature and its contribution to the development of own field. Determine novel research objectives as experiments progress and initiate and implement relevant programme of research
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Details The project will advance the accuracy of Computational Fluid Dynamics (CFD) models employed for predicting boiling heat transfer and particularly the Critical Heat Flux (CHF) in nuclear Pressurized