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the shortlisting on the 21 July. If you need any support, equipment or adjustments to enable you to participate in any element of the recruitment process you can contact Lindsey Wilson. Our vision and strategic plan
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support, equipment or adjustments to enable you to participate in any element of the recruitment process you can contact Marco Franchino, Lead Engineer for Manufacturing Intelligence: on m.franchino
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to participate in any element of the recruitment process you can contact eee-postaward@sheffield.ac.uk . Our vision and strategic plan We are the University of Sheffield. This is our vision
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these methods for thin coated membranes. As part of a team, you will develop mathematical and computational models, as well as lead the experimental work. You will work closely with our industrial partner. You
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and enthusiastic Foundry Operative to join our world-class AMRC Casting Group. This role offers an outstanding opportunity to be a part of a team that is making a significant impact on the global
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. However, as computational modelling is a core part of this PhD, applicants must be highly motivated to develop strong coding skills as part of the project. The ability to work both independently and in
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. Work arrangement Full-time/Part-time (with a minimum commitment of 80% FTE). Flexible options considered Duration Fixed-term for 27 months from start (1st Aug 2025 to 31st October 2027; it is possible
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System (IELTS) average of 6.5 or above with at least 6.0 in each component, or equivalent. Please see this link for further information: https://www.sheffield.ac.uk/postgraduate/phd/apply/english-language
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of digitally controlled wide-bandgap power electronic systems such power factor correctors and high voltage inverters to improve X-ray generator performance. The candidate will lead this project, liaising with
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the application statement when you apply. Essential criteria The ability to work as part of a team, and also independently [assessed at: application, interview] Previous experience of data inputting and processing