75 computer-science-quantum-"https:"-"https:"-"https:"-"https:"-"https:"-"L2CM" positions at Cranfield University
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designing research approach and drawing on a wide range of social science methods. Key commercial sectors include (but are not limited to) data centres and high-tech industries, as well as food and beverage
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. The project focuses on power-aware computing, thermal optimization, and sustainable electronic design, targeting critical applications in aerospace, healthcare, and industrial automation. Hosted by the renowned
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sponsors to deliver the outputs and will have access to a bespoke training programme. Per- and polyfluoroalkyl substances (PFAS), also known as “Forever Chemicals”, are micropollutants of increasing concern
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engineering, digital technologies, and systems thinking. The university’s strong reputation for applied research and its focus on technological innovation ensure that this project will be well-supported, with
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Thermal Power Engineering offers a specialist, part-time research programme, leading to the attainment of an MSc qualification. Through independent research, this training aims to enhance your career
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in an increasingly volatile landscape and this PhD programme offers students the opportunity to study the strategic, organisational, and policy challenges facing defence and security institutions. It
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strengths and interests (e.g. geospatial data science or socio-environmental modelling). Funding Sponsored by the Leverhulme Trust and Cranfield University, this Connected Waters Leverhulme Doctoral programme
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sampled. This PhD study will address this research challenge. Cranfield is the largest academic centre for postgraduate studies in Science and Technology in the UK. Focused on developing applied research to
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and Computational Social Science approaches to entrepreneurship, sustainability and achieving the SDGs Technology in Management/HRM/Supply Chains Operations Research and Computational approaches in
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AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
intelligence, particularly in computer vision and deep learning, offer an opportunity to automate and enhance damage assessment by learning patterns from multimodal data. This research seeks to bridge the gap