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grant sponsored by the UK’s Engineering and Physical Sciences Research Council to develop a theory for novel bio-inspired micromachine sensors to measure acoustical quantities that have not been measured
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ambitious project. You should hold, or be close to completing, a PhD in a relevant field such as applied or pure mathematics, physics, control engineering, or computer science. You will join both the SAMS
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Development of new materials for additively manufactured turbomachinery components operating in oxygen-rich environments School of Electrical and Electronic Engineering PhD Research Project Directly
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Mechanistic understanding, design and scale-up of Fluid-bed granulation School of Chemical, Materials and Biological Engineering PhD Research Project Directly Funded Students Worldwide Prof Rachel
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Sublinear time computation through the lens of decision trees, property testing and more
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more understanding of the fundamental behaviour of these materials which is where computer simulation can provide many of the answers. The project will involve studying the defect chemistry of niobate
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Ventilation in underground stations and tunnels School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Prof Mohamed Pourkashanian, Prof Lin Ma Application Deadline
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a mixture of experimental and computation work. A current key focus of the group is development of new multiscale modelling approaches, coupled with data driven modelling techniques, to support
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Hybrid Multi-Laser Laser Powder Bed Fusion for Next-Generation Metallic Components School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Dr K Mumtaz Application
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Multi-Material Laser Powder Bed Fusion for Next-Generation Additive Manufacturing School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Dr K Mumtaz Application