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/postgraduate/phd/apply/applying References References Katunin P, Zhou J, Shehata OM, Peden AA, Cadby A & Nikolaev A (2021) An open-source framework for automated high-throughput cell biology experiments
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space systems. This research will benefit from excellent computing facilities, expertise in computer-aided engineering (CA2M lab), the available experimental facilities including flight simulator
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-based sensing. This PhD project offers the opportunity to design and develop innovative optical measurement instrumentation based on one or more of these themes, evaluating their performance across
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Early-stage failure prediction in fusion materials using machine learning
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for part of this work c. Heat transfer and phase equilibrium modelling of deposited material within the fluidised bed to predict problem areas associated with distributor design and operation with different
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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
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. This project will develop Rolling Contact Fatigue (RCF) testing programme of bearing steel samples to investigate effects of some key factors, including high contact pressure, impact loading, surface slip and
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AMRC marketing teams Programme Administration & Support Be the point of contact for students and supervisors, and provide guidance and support on matters related to the PhD and EngD programmes Support
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-laminarisation (See J. Fluid Mech., He & Seddighi, 2013 & 2015). The work will include revising the direct numerical simulation (DNS) computer code developed in the group for the simulation of boundary layer flows
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and support they need to perform their duties. [Application] Evidence of resourcefulness in handling problems that arise unexpectedly and at short notice, and in resolving them with short to medium term