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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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Industry 5.0 goals. Expect impactful insights into advanced technology integration and human expertise, driving sustainability through improved system performance. Students benefit from collaboration
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motivating alignment towards sustainability goals. Cranfield University provides the ideal environment for this research endeavour, offering a wealth of resources and expertise in engineering and digital
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Applicants should have a first or second class UK honours degree or equivalent in a related discipline. This project would suit a student with an aerospace or mechanical engineering background. Experience
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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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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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Learning with application to hard and challenging defense problems providing a great skill set for employability after the degree in both industry but also academia as well. At a glance Application
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Reference numberSWEE0255 Entry requirements Applicants should have a first or second class UK honours degree or equivalent in a discipline related to agriculture, plant science, biology, or ecology. An MSc