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This self-funded PhD research project aims to develop smart sensors based on low-frequency resonance accelerometers for condition monitoring of ultra-speed bearings. The developed smart sensors will
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Research theme: Applied Mathematics, Continuum Mechanics, Liquid Crystals Application deadline: All year round The successful candidate will join the PhD programme of the Department of Mathematics
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. The overall aim of this PhD project is to analyse droplet impact mechanics along with the freezing thermodynamics under high airspeeds to gather important insights into ice adhesion behaviour. The experiments
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This PhD project will develop next-generation grid-scale energy storage solutions integrated into HVDC (High Voltage Direct Current) systems at the University of Edinburgh, in partnership with UK
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Research theme: Catalysis and porous materials This 3.5-year PhD is fully funded by The University of Manchester. Tuition fees will be paid and you will receive an annual tax free stipend set at
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Supervised by: Rasa Remenyte-Prescott (Faculty of Engineering, Resilience Engineering Research Group) Aim: Develop a mathematical model for obsolescence modelling for railway signalling and telecoms Background Network Rail operates several telecom networks which provide connectivity for various...
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underlying condition. This PhD project aims to link the NJR with the British Orthopaedic Foot and Ankle Society fusion registry to investigate the key factors influencing success of either surgery, with
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performance, performer training and performing archives, this PhD will examine how engagement with an archive enables performance histories to be taxonomised and reanimated, using Reckless Sleepers’ body
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Main Information: The University of Exeter’s Department of Biosciences is inviting applications for a PhD studentship funded by CEFAS and the Faculty of Health and Life Sciences to commence on 22
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; EPSRC Centre for Doctoral Training in Green Industrial Futures | Bath, England | United Kingdom | about 2 months ago
: Analyse how curation and drying impact mechanical properties and hygrothermal performance. Develop a Predictive Model: Create a computational model linking operational variables and material properties