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Lead Supervisor name: Professor Katherine Appleton, email: k.appleton@bournemouth.ac.uk Project description Aims: This project aims to use a systematic approach to design, develop and test novel
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Digital-Twin Technology to Accelerate Development of Electric Propulsion Systems This exciting opportunity is based within the Power Electronics, Machine and Control Research Institute at Faculty
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Area Engineering Location UK Other Digital-Twin Technology to Accelerate Development of Electric Propulsion Systems This exciting opportunity is based within the Power Electronics, Machine and
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with a tax-free maintenance grant at the standard UKRI rate of £20,780 per year for 3.5 years. Lead Supervisor’s full name & email address Dr Joshua Owen: j.j.owen@leeds.ac.uk Co-supervisor’s full name
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email Ms Becky Evans (dial-admin@eng.cam.ac.uk ) to let her know their interest in this position once their PhD application has been submitted. Interviews for the studentship will be held in September
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/or modelling is essential. Experience in machine learning, computer vision, and computer programming is desirable. In addition, applicants should be highly motivated, able to work independently, as
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” links at the bottom of the LSE Jobs page. For queries about the role, email gri.hr@lse.ac.uk . The closing date for receipt of applications is Monday 11 August 2025 (23.59 UK time). Regrettably, we are
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collection activities. Supervision will be provided by academics from various disciplines specializing in biomechanics, image processing, and computer vision, alongside orthopaedic surgeons and academics.
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supervisors spans five departments at University of Nottingham including Architecture and Built Environment, Electrical and Electronic Engineering, Mathematics, Physics and Social Sciences. The PhD programme
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electrolysis include slow responsiveness to varying renewable energy, high cost of balance of plants and power electronics systems and low energy efficiency, and limited lifespan of electrolysers. The main