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sustainability goals whilst improving operational efficiency? This PhD studentship will involve developing machine learning models, creating virtual manufacturing replicas, and implementing optimisation algorithms
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as structural members when deployed make a good basis for a deployable structure. The two main aims of this project are to develop novel designs and manufacturing methods for foldable composite
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-research/ Applicants are strongly encouraged to contact Dr. Sanaz Kavianpour (s.kavianpour@abertay.ac.uk) for advice on developing a proposal prior to submitting it. Abertay is a small, modern University
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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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rate is £20,780) Fees and Bench fees: will be met by the University for the 3 years of the funded Studentship. Visa and associated costs are not funded. International applicants can visit https
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Hydrogen is the most abundant molecule in the universe, and its interaction with surfaces plays a key role in a huge range of processes, from star formation to the safe storage of rocket fuel
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excellent' or 'world-leading', a 23% increase since the last REF2014 – the biggest climb of any Scottish university. The University is committed to the principles outlined in the Vitae Researcher Development
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This doctoral research will focus on the development, optimisation, and coordinated deployment of advanced aerial platforms, specifically electric vertical take-off and landing vehicles (eVTOLs) and
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, and space hardware. This PhD research aims to develop a comprehensive Mode Selection Framework for Reduced Order Modelling (ROM) in Structural Dynamics—using machine learning to build robust
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to deepen our understanding of IAI mechanisms and develop innovative antibacterial biomaterials to improve patient outcomes. Structured around three core scientific pillars-regenerative medicine, biomaterial