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this issue and we could use obtain data-driven models using machine learning algorithms such as artificial neural networks, reinforcement learning, and deep learning. A typical caveat of data-driven modelling
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students and a tax-free bursary of £25,183) PhD, sponsored by the Manchester Airports Group (MAG), aims to support airports in identifying clear requirements and phasing considerations when planning
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generation of eco-intelligent electronics that balance performance, longevity, and environmental impact. The multidisciplinary nature of this PhD ensures that students develop deep expertise in energy-aware
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AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
intelligence, particularly in computer vision and deep learning, offer an opportunity to automate and enhance damage assessment by learning patterns from multimodal data. This research seeks to bridge the gap
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the intersection of ecology, machine learning, and sustainable land management, the research will combine field data collection, deep learning model development, and stakeholder co-design to support biodiversity