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) offer new avenues to tackle this problem. AI models have demonstrated strong potential in clinically relevant insights from electrical signals such as ECGs, and from cardiac imaging modalities including
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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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. References, and Your personal statement. Once your PhD programme online application has been submitted you must email li-nubs-phd-support@nottingham.ac.uk to indicate you would like to be considered
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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 Jianglin Lan & Dr Ahmed Zoha Year 1 MSc Course: MSc Communication and Signal Processing Year 2 – 4 PhD Location: Glasgow University Research Abstract: This PhD research aims to develop an AI-driven
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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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) offer new avenues to tackle this problem. AI models have demonstrated strong potential in clinically relevant insights from electrical signals such as ECGs, and from cardiac imaging modalities including
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Biomedical Campus. You will join an exciting research programme investigating fundamental mechanisms of ribosome assembly, translational control and how defects in these processes drive cancer development
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signalling, raising the possibility of shared molecular mechanisms. Project Aims This PhD project will focus on investigating the fibrotic behaviour of cells isolated from glaucoma patients of different ethnic
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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