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PhD Studentship: Population-Based Indirect Damage Detection System for Railway Bridges The UK’s railway bridge asset stock represents over 80% well-aged (>50 years) infrastructure, often carrying
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applications for a PhD studentship focused on developing and validating innovative origami-paper eDNA sensors with community scientists for the rapid detection of chemical and microbial contaminants in rivers
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satellite SAR, LiDAR and/or optical imagery to enable rapid, safe, and scalable assessments of damage. Candidate methods for temporal modelling and anomalies detection, which are likely to occur at affected
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global change, damaging critical infrastructure resilience. This project is part of the prestigious Loughborough University Vice Chancellor’s PhD Cluster – RAINDROP (Resilient eArthwork INfrastructure
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to the changing climate and extreme weather events, combined with pests and diseases. Phoma stem canker is a damaging disease of oilseed rape in the UK, causing annual yield losses worth £60-70M, despite the use
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information on its usage. Analytics CookiesOnOff About this tool(Opens in a new window) Skip to main content Find a Job Find PhDs Career Advice PhDs by Email Advertise a Job Recruiters Find a Job Find PhDs
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detection of chemical and microbial contaminants in rivers. The studentship is funded by the Leverhulme Trust through the Connected Waters Leverhulme Doctoral Programme, which is supporting new research
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Testing (NDT) – a crucial technique used in industries to assess materials, components, and structures without causing damage. This PhD project focuses on advancing Ultrasound Testing and X-ray Computed
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detected earlier. This will increase chances that irreversible damage may occur before retinopathy is detected. Reducing the costs for the NHS and reducing number of appointments. Please direct project
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skyscrapers, enabling early detection of damage. - Renewable Energy: Rapid, optimized design of wind turbine blades and structures for greener energy. - Microstructures: Accurate, efficient analysis of devices