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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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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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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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for the circular economy in manufacturing. The PhD Project The UK is heavily reliant on critical materials imported from overseas, this means it is susceptible to global supply issues and price volatility. There is
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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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detected in China, where Lbb was predominant, and caused severe damage to OSR and brassica vegetables. This PhD project aims to understand the mechanisms underpinning changes in pathogen populations
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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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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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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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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