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characteristics, at hypersonic speeds, that are likely to adversely affect multibody separation. The research encompasses experimental and computational elements to evaluate the aerodynamics of multibody separation
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This research opportunity aims to hire PhD students as a self-funded program. By analysing retinal images with deep learning technology, early detection of Alzheimer’s disease may be possible. By
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or equivalent in in Design, Engineering, Computer Science/IT or a related subject. Experience in system design, and/or manufacturing is preferred, and digital technologies is required. It welcomes
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of data driven approaches further relies on the adoption potential and company readiness to use it. This observation likely opens an opportunity for social and behavioural sciences to enable transitions as
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in Design, Engineering, Computer Science/IT or a related subject. Experience in system design, and/or manufacturing is preferred, and digital technologies is required. It welcomes applications from
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postgraduate university that is a global leader for transformational research and education in technology and management. Research Excellence Framework 2021 (REF) has recognised 88% of Cranfield’s research as
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and technical development Level 7 Apprenticeships Open Executive Programmes Find a programme Studying at Cranfield Application guide International students Life at Cranfield Life at Shrivenham Careers
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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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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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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