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Field
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categorise the interconnected strands (eg, devising strategies, training approaches and physical languages) of the company’s performance repertoire, facilitating the creation of a ‘live archive’. Funding Home
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to the launch of the Bloomberg Cambridge University Corporate Bond Index later in 2025 and the delivery of the ongoing research programme related to the index project. The successful candidate will undertake desk
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace – In Partnership with Rolls-Royce PhD
placement with Rolls-Royce. The research focuses on AI-driven digital twins, using large language models and knowledge graphs for predictive maintenance in aerospace systems. Aerospace systems generate vast
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such as SHACL (Shapes Constraint Language), the NCT3TA reference model, and standards like HISO 100xx and ISO/IEC 11179-xx. Prior experience with these tools is not required—training will be provided
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Applications are invited to undertake a PhD programme, in partnership with Airbus, to address key challenges in ensuring adoption of sustainable approaches to fuel additives for aviation use
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experience and ambitions A Master’s degree (or equivalent) in physics: photonics, AMO physics, quantum optics, or a related discipline; Excellent communication skills (fluency in English) and strong
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intellectually to other projects developed in the Laboratory. Excellent oral and written English. Funding This four-year studentship will cover University fees and an index-linked stipend starting at £22,113
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Location: UK Other Applications are invited to undertake a PhD programme, in partnership with Airbus, to address key challenges in ensuring adoption of sustainable approaches to fuel additives
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or carried out their main activity in the UK formore than 12 months in the 36 months before the recruitment date. Must hold a Master’s degree by the start date (September 2025). Good English proficiency
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deadline passes. You will need to meet the minimum entry requirements for our PhD programme . Candidates should have a strong background and first degree in chemistry or closely related subject (BSc/MChem