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Project The Adaptive Design for AI-Driven Processes in Transforming Dynamic Landscapes (ADAPT) project develops scalable, data-driven design methodologies that transform dynamic environmental processes
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critical minerals essential for clean technologies. By capturing the voices and silences of those most affected by extractive industries, the project aims to build a bottom-up, data-driven framework
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(e.g. digital humanities, historical auxiliary sciences, gender studies, environmental history and/or global Middle Ages). They have teaching experience in medieval history. They are able to work in a
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12 Nov 2025 Job Information Organisation/Company KINGS COLLEGE LONDON Research Field Biological sciences Computer science Mathematics Researcher Profile Recognised Researcher (R2) Established
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Process; Sustainable and Resilient (Bio) Chemistry; Materials Discovery; Theory, Computational and Data-Led Chemistry; Soft Matter, Polymers and Interfaces; Chemical Photonics, Spectroscopy and Sensors
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of past societies, working on the Science, Society and Environmental Change in the First Millennium CE (SSE1K) project ( ). The project is funded by the ERC and began in 2023. It is led by Professor Helen
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the growth of mastitis-causing pathogens. Performing on-farm environmental sampling of dairy cubicles and teat-end swabbing to gather real-world data. Evaluating the relationship between cubicle hygiene
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the growth of mastitis-causing pathogens. Performing on-farm environmental sampling of dairy cubicles and teat-end swabbing to gather real-world data. Evaluating the relationship between cubicle hygiene
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critical minerals essential for clean technologies. By capturing the voices and silences of those most affected by extractive industries, the project aims to build a bottom-up, data-driven framework
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critical minerals essential for clean technologies. By capturing the voices and silences of those most affected by extractive industries, the project aims to build a bottom-up, data-driven framework