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This is a full funded PhD (fees and bursary) in hypersonic aerodynamics in collaboration with EPSRC. The overall aim of the research is to investigate what are the aerodynamic interference
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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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market structures. This PhD project focuses on designing a sustainable business or turning an existing business more sustainable by implementing circular practices incurs a range of holistic implications
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, access, technologies, perceptions and discourses converge in time and space to impact the health and quality of freshwaters. In this project, the PhD student will adopt a critical perspective on the cause
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. This PhD research aims to define novel approaches to developing and combining these intelligences, utilizing both 1st and 2nd wave AI approaches, in the context of Defence applications. Such applications
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on developing an innovative framework grounded in Design for Dynamic Management, we integrate AI and predictive analytics to enable adaptive decision-making. This PhD research at Cranfield University aligns with
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robot as well as the Mechanical Testing Lab in the School of Aerospace, Transport and Manufacturing. At a glance Application deadline15 May 2024 Award type(s)PhD Start date30 Sep 2024 Duration of award4
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Embark on a ground-breaking PhD project harnessing the power of Myopic Mean Field Games (MFG) and Multi-Agent Reinforced Learning (MARL) to delve into the dynamic world of evolving cyber-physical
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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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the Connected Waters Leverhulme Doctoral Programme, which is funding up to 18 PhD studentships to conduct multidisciplinary research on freshwater ecosystems, across two universities, Cranfield and Roehampton