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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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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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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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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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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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reliability of the identification process. Key Deliverables: Designing empirical eye tracking studies to explore user characteristics, such as deepfake classification expertise and cognitive approach
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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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to stimulate genetically modified neurons. Traditional brain implants are made of metals like platinum and iridium, which severely limit miniaturisation and signal resolution and, as a result, cause
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preparing people awaiting cancer treatments, not only surgery, through support for physical activity, nutrition and emotional well-being either alone or in combination, and from the point of diagnosis
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not possible to properly understand political processes without exploring the economic or value contexts in which politics operates. Similarly, sound economic analysis requires an awareness of how