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methods that combine historical climate data, simple physics-based models, and AI to deliver more accurate projections of how our climate will warm and recover in a net-zero future. As part of this project
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climate will warm and recover in a net-zero future. As part of this project, you will apply machine learning (ML) methods to discover reduced-order models from data and develop GenAI-based techniques
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management and development in an academic context, with the skill to analyse complex data and turn it into clear recommendations and reports. You plan and prioritise effectively, influence and negotiate
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intellectual leadership, establish novel approaches to pseudoviral and viral-like glycosylation studies, integrate glycomics with immunological outcomes, and share findings across the CAVD network. The role
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significant capital investment to achieve Net Zero. This role will suit exceptional candidates with a track record of managing a complex portfolio for a Russell Group University. You will be adept
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, innovators and academic talent to build shared expertise, networks, and insights. About you You will bring a strong track record of leading research, knowledge exchange, and enterprise (KEE) across a