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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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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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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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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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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 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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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
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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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Are you passionate about the future of artificial intelligence and its integration within the financial sector? Do you have a background or research interest in human-computer interaction, human