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of world Reference numberSATM459 Entry requirements We are inviting applicants with a minimum of a 2:1 first degree in a relevant discipline/subject area such as engineering, manufacturing, computing, data
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algorithms are used that allow a computer to process large data-sets and learn patterns and behaviours, thus allowing them to respond when the same patterns are seen in new data. This include 'supervised
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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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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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, 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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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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equivalent in environmental sciences, physical geography or biology, and knowledge of metagenomic analyses Funding This Leverhulme doctoral programme will recruit scholars in three cohort over three successive
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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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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 provides
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for Digital Engineering and Manufacturing (CDEM). The Centre hosts cutting-edge simulation and visualisation facilities. The student will have access to high-end computers for simulating the complex nature