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This self-funded PhD research project aims to develop smart sensors based on low-frequency resonance accelerometers for condition monitoring of ultra-speed bearings. The developed smart sensors will
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stations. To achieve this goal, the candidate is expected to conduct the following: (1) Remote condition monitoring system . Develop a system to manage the working conditions of e-bike charging stations
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chronic monitoring and facilitate seamless integration into dynamic neuromodulation systems for closed-loop therapeutic interventions. By leveraging graphene’s exceptional electrochemical properties with
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Start date: 28/09/2026 Type of opportunity Fee status: UK Duration 4 years 1st Supervisor: Professor Zhugen Yang 2nd Supervisor: Dr Robert Grabowski Cranfield University is excited to invite
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large herbivores and off-road driving, using the RPI to control for climate-driven variability and incorporating data from allied ground monitoring. This should reveal landscape-scale recovery timeframes
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Deterioration of earthworks slopes (cuttings and embankments), which support transport infrastructure and act as flood defences, is accelerating under increasing weather extremes resulting from
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on human-environment interactions in freshwater ecosystems. The studentship covers fees and stipend for a home (UK) student. There is an urgent need for novel freshwater quality monitoring solutions to help
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industries, including: - Aerospace: Faster, more efficient design and real-time condition monitoring for safer aircraft and spacecraft. - Civil Engineering: Real-time health monitoring for bridges and
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and other green systems through field studies and environmental monitoring; Developing data-informed approaches to measure and explain ecological change; Assessing how design, maintenance, and local
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1. Project overview Electrochemical sensing plays a central role in next-generation health technologies, enabling real-time monitoring of physiological environments with high sensitivity and low