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, rule-based or fuzzy methods. View DetailsEmail EnquiryApply Online
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tool modelling and experimental methods to investigate the effect of the CNC micro milling process on part quality, and map the digital thread of the micro milling process. The candidate will work
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, advanced statistical methods and the potential to develop pioneering reconstruction and calibration techniques involving machine learning. The PhD will prepare equally well for a career in industry and
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via traditional analytical methods extremely challenging. This project will apply pattern recognition and machine learning techniques to a large database of experimental data to reveal early-stage
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to exploit approximate or computational solutions; however, this can be unsatisfactory in that it lacks in valuable physical insight. This insight is often crucial in changing partial mathematical solutions
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will enable the advanced monitoring and computing techniques of power systems, as well as to create a resilient control and operation for both energy network and distributed energy sources. This PhD
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methods to understand hearing device user preferences in more complex settings, including leveraging virtual reality (VR) to simulate diverse acoustic environments and hearing aid algorithms. VR offers
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Computational Fluid Dynamics modelling of free surface flows over packing materials in a CO2 absorber School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Prof
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the implementation and ongoing review of programme level approach in the School and contributing to the strategic development of the portfolio. This will involve coordinating high quality and consistent programme and
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responsibilities Design, deliver, assess, and evaluate campus based Data Science programmes. This will include identifying learning objectives, selecting appropriate curricula and teaching methods. Prepare and