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road systems to support cleaner, more efficient and cost-effective logistics. The role involves building computer simulations and digital infrastructure using right-time data to test low-carbon and green
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to support cleaner, more efficient and cost-effective logistics. The role involves building computer simulations and digital infrastructure using right-time data to test low-carbon and green technologies, and
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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 integration of AI into hardware not only enhances performance but also reduces energy consumption, addressing the growing demand for sustainable and efficient computing solutions. This PhD project delves