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computer science or mechanical engineering. The candidate will have programming experience, particularly on the development of machine learning pipelines. The University actively supports equality, diversity and
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research question of this PhD project is: How does extreme weather (e.g. heat waves and storms) affect the indoor environment (e.g. temperature, humidity, air quality), household behaviours and health, and
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We are looking for a highly motivated candidate to pursue a PhD programme titled "CFD-informed finite element analysis for thermal control in wire-arc directed energy deposition." This research
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degree which includes a substantial research element, with a score of 65% or above in the taught modules and 65% or above in the dissertation. Complete the PhD Programme online application . Your
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to maximize this impact throughout the PhD programme. Given a focus on body weight and strategies to reduce this, with consideration for sustainability and current consumer preferences for naturalness
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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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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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, Continuum Mechanics, Computer Science, Materials Science, Physics or a related subject, or relevant industrial experience. English language requirements: Applicants must meet the minimum English language
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requirements A minimum of a 2:1 first degree in a relevant discipline/subject area (e.g. aerospace, automotive, mechanical, electrical, chemical, computing, and manufacturing) with a minimum 60% mark in
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specification: • BEng/MEng in Engineering discipline with appropriate energy and data modules, particularly Chemical Engineering, Mechanical Engineering, Electrical Engineering, Energy Engineering (minimum of 2:1