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Application of Closed-loop control for EBeam Powder Bed Fusion manufacture of Tungsten – employing Dynamic Process Themes and Microstructural Control in Fusion Engineering component manufacture
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Development and validation of control strategies for flexible and demand-driven anaerobic digestion School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Prof
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of publications. Criteria Essential or desirable Stage(s) assessed at A PhD (or close to completion of a PhD) in Machine Learning or a similar area (e.g. in Computer Science, Electrical and Electronic Engineering
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to establish a research portfolio and technology roadmap around the remit of the development of AM processes, materials, AM process simulations, online/offline process monitoring and control tools as
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priorities relevant to this project: 6. How can digital technology help adolescents/young people with IBD to feel more in control and independent with their IBD? 8. How can digital technology help adolescents
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Design and development of water desalination plants for rural communities, driven by a hybrid solar-bioenergy system School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self
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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
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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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control strategies for practical applications, using optimisation and feedback control methods. Collaborate and co-supervise a PhD student investigating relaminarisation under different forcing scenarios