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An exciting PhD studentship opportunity fully-funded by the Engineering and Physical Sciences Research Council (EPSRC) Doctoral Training Partnership (DTP). This project would suit students with a
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systems enables effective digitalisation and automation transition. This project aims to build a generative AI model and algorithm for optimising manufacturing systems’ engineering design and processes
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, Materials Science/Engineering, Aerospace Engineering, Physics, Chemical Engineering or related discipline. The candidates should be self-motivated, have good communication skills, and an interest in
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diversity in Science, Technology, Engineering and Mathematics (STEM) through our Athena SWAN Bronze award and action plan, we are members of the Women’s Engineering Society (WES) and Working Families, and
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upgrade water treatment infrastructure and increase its resilience using nanobubble technology as a chemical-free approach. The successful candidate will work closely with the water industry to develop
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social science discipline. Experience in qualitative research will be an advantage. This funded studentship is part of the Connected Waters Leverhulme Doctoral Programme, which is funding up to 18 PhD
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Engineering or aerospace or a related discipline. This project would suit those with a strong interest in aviation. Experience of computer programming (preferably in Java) would be an advantage. A logical
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for this position has a BSc and MSc in environmental sciences, physical geography or biology, knowledge of metagenomic analyses, and a passion for the natural environment. This fully funded studentship is part of
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The South and East Network for Social Sciences (SENSS) Doctoral Training Partnership (DTP) is a consortium of 8 leading universities (of which Cranfield University is one) across the south and east
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will be conducted through the Rolls-Royce University Technology Centre based at Cranfield which has a strong collaborative history with Rolls-Royce in the area of aero-engine aerodynamics. This programme