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technologies and AI for developing community-led conservation strategies of heritage buildings at risk. This exciting opportunity is based within the Architecture, Culture and Tectonics Research Group
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promising tools for addressing these challenges. Large language models can help bridge communication gaps between subject experts, while knowledge graphs can capture complex semantic relationships and provide
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at enhancing environmental sustainability and biodiversity in urban contexts. Motivation Urban green initiatives such as community gardens, pocket parks and other small‑scale green interventions are becoming
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language), finite element modelling or computational fluid dynamics, composites mechanics, composites manufacturing, statistical modelling. Funding support After a suitable candidate is found, funding is
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presentation/communication and writing skills. Funding support After a suitable candidate is found, funding is then sought from the University of Nottingham as part of a competitive process (this will cover home
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verbal and written communication skills A high level of independence and self-motivation An analytical mindset with strong problem-solving abilities Strong organisational and time-management skills Ability
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working environment for all PGRs creating a strong sense of community across research disciplines. Community and research culture is important to our PGRs and the FoE support this by working closely with
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CFD, thermofluids and machine learning. Experience in Python (or another language), machine learning frameworks, or CFD tools such as OpenFOAM is beneficial but not required. Applicants should hold (or
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. The Faculty of Engineering provides a supportive and vibrant research environment, with access to excellent facilities, a strong postgraduate research community, and extensive training opportunities
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practical engineering, communication, entrepreneurship, and business skills to prepare students for diverse sectors. The CDT facilitates direct contact between students, industrial partners, policy makers