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Field
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deep learning. The purpose of this scholarship is to support a PhD student to contribute to the advancement of infrastructure monitoring technologies with strong industry collaboration. Student type
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PhD Studentship: Multi-robot Cyber-physical Systems for Solar Farm Health Monitoring and Maintenance
-physical Systems for Solar Farm Health Monitoring and Maintenance Supervisors:Dr Euan McGookin & Dr Ahmad Taha Year 1 MSc Course: MSc Communication and Signal Processing Year 2 – 4 PhD Location: Glasgow
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, meteorological and physical conditions they operate under. Such data can inform structural health monitoring for offshore wind turbines or help plan new offshore sites, via estimation of power yield in relation
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impacts, interest in river health has grown, pushing monitoring programmes increasingly into the spotlight. At the same time, advancements in sensor technology and deployment mean that much larger ranges