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learning models to forecast and visualize heat flow and occupant comfort metrics. Identify key drivers of energy inefficiency, including occupant behaviour patterns and physical heat loss hotspots. Formulate
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Project advert This studentship offers an exciting opportunity to investigate how physical inactivity contributes to the development of type 2 diabetes and to explore whether simple lifestyle
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to train tomorrow’s leaders in earth and environmental science. For further details about the programme please see http://nercgw4plus.ac.uk/ For eligible successful applicants, the studentships comprises
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, engineering, physical sciences, economics or any other field where evidence is provided of sufficient computing and mathematical background) solid experience of programming, machine learning methods and ideally
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strong upper second-class undergraduate degree in Chemistry, Physics, or a related discipline such as Mathematics or Computer Science, are encouraged to apply. The candidate is expected to have a strong
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Applications are invited for a PhD studentship in the Department of Computer Science at City, University of London. The successful candidate will work on Agentic Artificial Intelligence—the next
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; an additional Disabled Student Allowance (DSA) to support reasonable adjustments where appropriate. Application Process: This is a 2-step process. You must first be accepted into the University of Liverpool
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autonomous systems. You will have the freedom to shape the project direction, experiment with novel ideas, access state-of-the-art AI and computing facilities, receive tailored training and professional
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Benjamin Horrocks , Dr Gang Si (Procter & Gamble) Eligibility Criteria We are adopting a contextual admissions process. This means we will consider other key competencies and experience alongside your
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, materials characterisation and computational simulation – highly sought after in the UK’s growing offshore energy sector. This research will directly contribute to more reliable, cost-effective and