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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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sections of society. We - the Faculty of Engineering - provide a thriving working environment for all our postgraduate researchers (PGRs) creating a strong sense of community across research disciplines
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or high-bandwidth communications. Instead, sensing and AI inference must operate directly at the edge, under tight constraints on power, bandwidth, and compute. This studentship addresses that challenge by
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visual representation Excellent written and verbal communication skills Desirable skills and experience: Knowledge of tenement architecture in at least one case study city, or strong familiarity with
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modelling. Excellent communication skills and the ability to work collaboratively with academic and industrial partners are essential. This studentship offers an enhanced stipend of £26,780 per year for Home
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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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engineering, materials science, chemistry or a related discipline, with enthusiasm for experimental research and computational modelling. Excellent communication skills and the ability to work collaboratively
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for international collaboration, preparing you for a successful career in academia, industry, or policymaking. Carry out a training programme covering practical engineering, communication, entrepreneurship, and
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successful career in academia, industry, or policymaking. Carry out a training programme covering practical engineering, communication, entrepreneurship, and business skills to prepare students for diverse
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or quantitative data analysis. • Basic computational or programming skills, or a willingness to engage with modelling and data-driven approaches. Strong communication skills, enthusiasm for interdisciplinary