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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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Supervisors:Dr Kevin Worrall & Dr Yao Sun Year 1 MSc Course: MSc Communication and Signal Processing Year 2 – 4 PhD Location: Glasgow University Research Abstract: This project aims to enhance satellite
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Supervisors:Dr Dezong Zhao & Prof Lei Zhang Year 1 MSc Course: MSc Communication and Signal Processing Year 2 – 4 PhD Location: Glasgow University Research Abstract: This research aims to enable robots to tackle
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to have a proactive attitude towards problem solving independently. The student is expected that she/he has prior experience using machine learning tools before and be familiar with signal processing tools
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at Research Associate level is dependent on having a PhD. Those who have submitted but not yet received their PhD, will initially be under-appointed as a Research Assistant (Grade 5, Point 38 - £34,132), moving
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on the thermomechanical performance of W/V joints via these methods. Understanding the link between microstructure and properties is crucial for process optimisation and design integration. Project Scope: This PhD will
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Assistant role, funding and payment of the PhD fees will cease. Enrolment and supervision on the PhD may continue only if you can continue to pay the fees from the point of resignation from the Research
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integrate, adapt and develop methods (using packages such as BioSPPy ) for the collection, processing and analysis of physiological signals measured for determining deception. The project can take different
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n-type ceramic thin films. These materials will be processed at low temperatures on form-free substrates, with an emphasis on their integration into affordable, wearable healthcare devices. Building
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Fully Funded PhD Research Studentship A tax-free stipend of £20,780 Design, Informatics and Business Fully Funded PhD Research Studentship Project Title: Enabling People to Identify Deepfakes PhD