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workflows. You will work with staff and students from AMTRG and the wider faculty of engineering, having access to software packages, advanced robotics, manufacturing, assembly and inspection facilities. Who
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their performance relative to current pragmatic industrial approaches. The successful candidate will spend at least 3 months during the PhD based within Siemens Digital Industry Software, receiving joint supervision
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of Engineering which conducts cutting edge research spanning exploration to translation, with curiosity driven projects all the way through to application in the clinic. Vision We are seeking PhD student that is
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, resourceful PhD candidate, with knowledge in aircraft power systems and IT skills in MATLAB/Simulink and other related software. Applicants should have achieved or be expecting to achieve a 1st or a 2:1 in an
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courses developed for Engineering PGRs, including sessions on paper writing, networking and career development after the PhD. The faculty has outstanding facilities and works in partnership with leading
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Fully-funded 4-year PhD Studentship (UK Home fee status): Numerical simulation of boiling flows for high heat flux fusion components Aim and Objectives This project aims to develop a high-fidelity
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applicants who have a background or strong interest in Computer Science, interactive media, software engineering, 3D modelling/animation, VR/AR, human–computer interaction or related digital-tech fields
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PhD project: Modelling Resilience of Water Distribution Networks Supervised by Rasa Remenyte-Prescott (Faculty of Engineering) Aim: To develop an modelling approach for assessing water network