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This PhD project will focus on developing, evaluating, and demonstrating advanced data analytics solutions to a big data problem from aerospace or manufacturing system to uncover hidden patens
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Applications are invited for a fully funded PhD studentship in the area of autonomous systems (in particular that of human machine teaming modelling) within the School of Aerospace, Transportation
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In the quest for sustainable development, the manufacturing sector faces the dual challenge of minimizing environmental impact while enhancing operational efficiency. This PhD project aims
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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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the Role The Research Fellow will be a key member of a team contributing to a number of research projects related to low emissions combustion experimental and analytical research and innovation. A key
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essential analytical, problem-solving, and data management skills, becoming indispensable assets in engineering and digital innovation. At a glance Application deadline27 Nov 2024 Award type(s)PhD Start
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utilised with the aim of efficiently analysing large datasets, the extraction of meaningful information and the creation of a chemical database. The PhD student will be involved in the adaptation of the CRIM
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This fully funded PhD, sponsored by EPSRC and BAE Systems, will investigate predictive models for an application in the defence sector. Overview Conventional propellants degrade over time at rates
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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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of the discipline and the discovery of new knowledge. In addition you will be expected to: • Publish papers in peer reviewed journals and presentations at conferences • Liaise with analytical and test