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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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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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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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team. This apprenticeship offers a unique opportunity to gain hands-on experience in a world class chemistry laboratory, working alongside experienced scientists and contributing to real-world projects
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months in the first instance, whilst a renewal of the contract is possible. About You You should have a PhD (or nearly obtained) in the area of Mechanical Engineering, or related disciplines. You are
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contract is possible. About You You should have a PhD (or nearly obtained) in the area of Mechanical Engineering, or related disciplines. You are expected to demonstrate knowledge and track record in some of
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respective field. You will be expected to develop and build long term relationships with industry, science programmes and professional bodies. To be successful in this role you will be comfortable with change
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respective field. You will be expected to develop and build long term relationships with industry, science programmes and professional bodies. To be successful in this role you will be comfortable with change
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respective field. You will be expected to develop and build long term relationships with industry, science programmes and professional bodies. To be successful in this role you will be comfortable with change
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Recruit our students Develop your technology and products Access funding Knowledge Transfer Partnerships Work with our students License our technology Business incubation Cranfield spin-out and start-up