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spread over five months (October 2025-February 2026). The duties will include: Observing a series of training sessions, in-person at University of Nottingham. Assisting with the design of a schedule of
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PhD Studentship: Sleep and Circadian Rhythms in Elite Sport (Co-funded by Brighton & Hove Albion FC)
in machine learning methods for pattern recognition and prediction. An academic or practical background in sleep science and/or elite sport is highly desirable. The candidate will be embedded within
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace – In Partnership with Rolls-Royce PhD
and reasoning techniques to support predictive maintenance and asset health monitoring •Design feedback mechanisms that deliver interpretable insights (e.g. alerts, recommendations, confidence scores
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conjunction with and under the guidance of the Principal/Co Investigator: 1. Plan and conduct assigned research individually or jointly in accordance with the project deliverables and project/group/School
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Research Centre and community liaison officers. Main duties and responsibilities of the job Lead the design, implementation, and evaluation of community engagement strategies guided by the REPRESENT
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bioinformatic skills to predict the evolution of rare diseases? FSHD is a rare neuromuscular disorder. No approved treatment is currently available. Slow and variable disease progression complicate trial design
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strategies for turbine wheel design Collaborate closely with an experimental PhD student and industrial researchers This is a rare opportunity to lead innovation at the interface of materials, mechanics, and
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Partnership at the University of Cambridge. This programme is a collaboration between industry and academia, now in the final 24 months of a 60-month effort. The programme integrates research and innovation
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successful candidate will develop a public-programme-as-research project and will: Design and deliver a three-year public programme including exhibitions (solo and group), talks, events, performances, digital
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—remains a critical challenge. This project will focus on designing AI-driven cognitive navigation solutions that can adaptively fuse multiple sensor sources under uncertainty, enabling safe and efficient