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simulation skills while gaining deep expertise in electromagnetic propagation, sensor technology, and applied physics. Why Cranfield? Cranfield University is a recognised leader in defence, aerospace, and
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EPSRC iCASE PhD studentship with SLB - Computational modelling of advanced geothermal systems School of Mechanical, Aerospace and Civil Engineering PhD Research Project Directly Funded UK Students
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with a background in mechanical, aeronautical, automotive, civil / industrial and/or software engineering (or similar) and/or mathematics and/or physics. The ideal candidate will have a solid background
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Rolls-Royce the project will focus on the development and testing of novel ultrasonic methods to measure intake massflow for aero-engines. This technology has the potential to improve the methods
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description outlining how you would approach the project & what methods you would use. Under programme name, please select ‘Architecture, Building and Civil Engineering’. Please quote reference number ABCE-ES1
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Advances in computing, experiments, and information will continue to reshape engineering in the next decade. This PhD position will nurture a multidisciplinary innovator with the tools to unravel
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an interest in data science, computational chemistry or related areas. A degree in Chemical Engineering, Chemistry, Computer Science, Mathematics or other engineering/science disciplines with significant
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should have completed (or about to complete) their undergraduate degree in physics or engineering (preferably with first class honours or equivalent) and we expect the PhD candidate to develop
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evaluation. Prognostics is an essential part of condition-based maintenance (CBM), described as predicting the remaining useful life (RUL) of a system. It is also a key technology for an integrated vehicle
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developing methods to cryopreserve, store and revive hPCTS for ex-vivo culture and then evaluate the potential for cryopreserved hPCTS to be used to model inflammation and fibrosis and perform drug efficacy