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Project Overview This PhD project is part of an Innovate UK-funded research programme focused on developing a novel ammonia-fueled engine and generator set (genset) demonstrator for harbour and
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critical to ensuring the longevity and safety of fusion reactors. This PhD project focuses on developing an integrated framework that combines cutting-edge computational models, including Monte Carlo
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, process stability, and the downstream consolidation and performance of remanufactured composites. This fully-funded PhD project fits within a wider research programme with industrial partners and an
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fabrication laboratories. Hands-on experience in surface engineering and scintillator detector testing. Training in modelling and simulation of radiation–matter interactions. Opportunities to present research
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Aalto University is where science and art meet technology and business. We shape a sustainable future by making research breakthroughs in and across our disciplines, sparking the game changers
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, Mathematics, Statistics, Biology, Engineering, Data Science or Computer Science. Main Duties and Responsibilities Perform the following activities in conjunction with and under the guidance of the Principal/Co
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AI design of ultrathin lenses for compact imaging devices The Faculty of Engineering at the University of Nottingham is seeking an enthusiastic, self-motivated student who enjoys working as part of
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AI design of ultrathin lenses for compact imaging devices The Faculty of Engineering at the University of Nottingham is seeking an enthusiastic, self-motivated student who enjoys working as part of
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of Humanities, up to six awards will be offered for candidates commencing the PhD in September 2023. Funding provider The University of Manchester and China Scholarship Council Level(s) of study This funding is
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. Your experience and ambitions Master degree in architecture, engineering, or other relevant field Experience in life cycle assessment (LCA) and energy simulation, knowledge of One Click LCA and IDA-ICE