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-solving, teamwork, and communication—setting the stage for a thriving career in research and innovation. This project is situated within the evolving field of cyber-physical systems (eCPS), which has
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of the Hub. Our approach enhances T2 (Interconnected QC systems) through verification methods for connected networks, supports T1 (Integrated quantum demonstrators) via hardware-agnostic metrics, and enables
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communities. Mediterranean products were also traded north where they entered new trading networks and were imbued with new meanings and values. The PhD project will ideally focus on this northern aspect of
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contribution will have a lasting impact. As a member of our vibrant community of 22,000 students and 8,000 staff, you will collaborate with passionate minds across nine London campuses and a global network. This
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conferences, expanding your network and gaining valuable experience in scientific communication. Supervisors: Dr Isabella Guido and Dr Richard Sear Entry requirements Open to UK nationals only. Starting in
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the development and implementation of machine learning (ML), computer vision (CV), large language models (LLMs), and vision-language models (VLM) to automate data extraction and interpretation for productivity
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attend international and national conferences to present your work and network with other scientists from across the globe. At the end of your PhD, you will be an accomplished and highly-capable scientist
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landscape, responding to scientific, industrial and social demand. The Grants and Studentship Manager will be responsible for the pre- and post-award activities of high value and high-profile studentship and
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environments such as low light, heat haze, and adverse weather is significantly difficult. These conditions not only degrade video quality but also complicate interpretation by humans and machines, making post
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energy storage within HVDC networks is a promising response to these challenges. Such integration allows HVDC systems to deliver a broad range of new grid services, including fast frequency response