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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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to the challenges of free-market systems. Cranfield University provides the ideal environment for this research endeavor, offering a wealth of resources and expertise in engineering and digital technologies
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Programme? Not funded by an EU programme Reference Number 4836 Is the Job related to staff position within a Research Infrastructure? No Offer Description School of Water, Energy and Environment Energy and
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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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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 developing a substantial renewable energy project, including site study, structural design and analysis, energy system innovations, experiments, computational simulations, energy configuration and connection