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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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should indicate at interview which mode they wish to pursue (high or low residency), and this will be agreed by the supervisory team according to the successful applicant’s needs. Overseas students
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that enhance efficiency, scalability, and versatility for diverse chiral compounds are necessary. This PhD project will focus on a novel Enantioselective Crystal Floatation process first conceived in
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of Education and Health Sciences to undertake a PhD degree is a separate process. Applications can be made by submitting (1) a current two-page academic CV and (2) an expression of interest document
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electronics, embedded programming, signal processing, vibration measurement and analysis, maintenance engineering, and electro-mechanical engineering. Funding This is a self-funded PhD. Find out more about fees
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developing cutting-edge computer vision and deep learning aimed at optimising inspection and monitoring of infrastructure. Applying these advanced technologies to real-world infrastructure challenges through
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developing cutting-edge computer vision and deep learning aimed at optimising inspection and monitoring of infrastructure. Applying these advanced technologies to real-world infrastructure challenges through
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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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health factors. Background: Fertility is a global-level multifaceted health problem where infertility and birth control are pressing concerns. WHO figures indicate that 1 in 6 people globally suffer from
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reliability of the identification process. Key Deliverables: Designing empirical eye tracking studies to explore user characteristics, such as deepfake classification expertise and cognitive approach