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. They therefore contain critical information on the nature of the volcanic system, immediately prior to hazardous explosive events. Understanding them will generate critical information on the transition between
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atmospheric chemistry. To address these challenges, a large aircraft project will deploy advanced instrumentation aboard the FAAM BAe-146 research aircraft during a dedicated measurement campaign in
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project will develop novel methods for modelling and controlling large gossamer satellites (LGSs), so that they can be reliably utilised in space-based solar power (SBSP) applications. The candidate will
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data analysis, with opportunities to apply your skills to integrating this with other data types (e.g. genomic and transcriptomic). The position is full-time and available for a duration of 4 years
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) Eligibility: UK Students Award value: Home fees and tax-free stipend £20,780 - See advert for details Deadline: 31st July 2025 Project Title: Thermal Energy Decarbonisation of Large Industrial and Commercial
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for automotive applications” BCAST is a specialist research centre in metallurgy with a focus on processing of metallic materials for lightweighting applications. See www.brunel.ac.uk/bcast for more information
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and colleagues located across the 4 nations of the UK. HDR UK’s mission is to unite the UK’s health data to enable discoveries that improve people’s lives. Its 20-year vision is for large-scale data and
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such approaches would be cost effective. To achieve this, you will be supported to undertake analyses using large data registries such as the Clinical Practice Research Datalink. This is an exceptional opportunity
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conference presentations. Funding This is industry funded project, funded by two big aerospace primes. Funding will cover tuition fees, plus a stipend based upon the current Research Council rate of £20,780
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace – In Partnership with Rolls-Royce PhD
intelligent reasoning and feedback mechanisms into digital twin environments, enabling them to interpret complex maintenance data more effectively. Using AI techniques, such as large language models, knowledge