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not just be sitting at your desk all day using a computer, this EngD is a unique mix of hands-on lab work, experiments and computer modelling. You’ll: Use computational fluid dynamics (CFD) to model how
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, are ill-suited to address the design-phase vulnerabilities of such technologies. This PhD project aims to bridge this gap by developing advanced computational techniques to enhance safety and resilience
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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 Deadline: Applications accepted all year round Details About the Project The additive manufacturing...
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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 Deadline: Applications accepted all year round Details About the Project The additive manufacturing...
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programme of study to elucidate the mechanisms by which vascular endothelial PKD1 regulates aneurysm development in ADPKD patients. To this aim, they will use in vitro (primary human endothelial cells) and ex
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programme. The stipend rate for the academic year 2024/25 is £19,237. The stipend will rise with inflation each academic year. View DetailsEmail Enquiry
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. The ability to accurately model these molecules using computational chemistry is limited due to a lack of efficient Gaussian basis sets that systematically reduce errors as their size is increased. In
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the ability to design a programme of research that will produce high quality outputs and have real impact in academia and beyond. As an equal opportunities employer, we particularly welcome applications from
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-vivo biomedical applications. Our research focuses are: (1) Micro robot design, fabrication and control, and (2) Remote magnetic control. The goal of this program is to develop mechanisms and systems
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-01126-2 Purshouse RC, Deb K, Mansor MM, Mostaghim S, Wang, R. A review of hybrid evolutionary multiple criteria decision making methods. Proceedings of the 2014 IEEE Congress on Evolutionary Computation