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Field
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students and post-doctoral researchers using high performance computing to advance understanding of high-speed aerodynamics. Over the past decade we have developed efficient open-source software that enables
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to the analysis of time series. In particular, the project will examine and develop methods that go beyond the Markovian paradigm. It will consider a range of time series data, focusing on those that show
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an independent impact assessment of potential climate interventions in the Arctic marine environment through laboratory experiments and computer modelling. The team will develop physical, climate and ecosystem
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learning algorithm to develop an ability to choose what main data pattern/structure to preserve? This PhD project will approach this question by developing modelling strategies and pipelines to enable human
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co-working with partner universities (e.g. UCL, UWE, Imperial) and industry partners. This project is suited to individuals who are willing to work across teams and work at the forefront of research
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will examine and develop methods that go beyond the Markovian paradigm. It will consider a range of time series data, focusing on those that show challenging properties of uncertainty, irregularity and
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The project: Motivation The development of hydrogen energy technologies is central to the UK government's ten-point plan for a green industrial revolution, targeting a 40% reduction in gas
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace - In Partnership with Rolls-Royce PhD
Overview: Cranfield University invites applications for a fully funded 3-year PhD, supported by the EPSRC DTP and Rolls-Royce. This studentship covers tuition, a tax-free stipend, funding
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specialist training through the EnerHy CDT and be based at the Caterpillar Innovation & Research Centre at Loughborough University. You’ll also gain hands-on experience at Caterpillar’s Peterborough site
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. The student will develop test protocols, in this highly interdisciplinary project, by leveraging collaborations across various Swansea University facilities to use DIC in both biomechanics labs and simulated