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. Developed at the University of Cambridge, Tessera enables highly efficient extraction of temporal patterns from Earth observation data, which we aim to use to track recent changes in landscapes managed
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the development of novel fluorination methods for the preparation of fluorinated molecules of strategic importance using readily available feedstock and cost-effective sources of fluoride including
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climate forecasting. The aim of the project is to develop innovative solutions to better understand and correct the SNP, improving climate predictions for the Euro-Atlantic region and beyond. Applicants
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grant TWISST: Terahertz wave induced spin switching technology. TWISST aims to develop the scientific understanding needed to create a new generation of magnetic memory-devices characterised by very low
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Colorectal Cancer - Stratification of Therapies through Adaptive Responses (CRC-STARS) programme, developing and applying cutting-edge mathematical methods to spatial transcriptomics imaging data in order to
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funded by UKRI and is fixed-term to 31 December 2026. This is an on-site position only. The project aims to develop a computational model for biodegradable polymers degrading in water under mechanical
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” and “wet” lab workflows). You will be able to Design, develop and implement algorithms and systems based on foundation models, large language models and/or AI agents for automated scientific discovery
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to develop a personal research programme in observational or theoretical cosmology, with a particular emphasis on ultra-large-scale cosmology (including primordial non-Gaussianity and horizon-sized effects
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with the possibility of renewal. This project addresses the high computational and energy costs of Large Language Models (LLMs) by developing more efficient training and inference methods, particularly
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the twentieth- and twenty-first centuries. The appointee will work across several of the Project’s strands of research, focusing on historical and theological analysis of the emergence and evolution of quantum