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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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characteristics of the targeted communities. Polygeneration design methods, control optimisation and thermoeconomic evaluation may be used during the project. The research will benefit from our current academic
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distinctive environment for the support and training of Medical Research Council (MRC) funded PhD students across our partner institutions. You will work closely with the Doctoral Training Programme manager to
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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