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relationship between brain structure, myelin distribution and genetic factors in MS. Research Focus: Recently, computational pipelines have been developed to integrate genetic and imaging databases
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into cross-seeding between microbiome-borne amyloidogenic proteins and human proteins implicated in neurodegenerative disea Your responsibilities: The doctoral candidate will perform computational analysis
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wetlands – namely salt marshes, seagrass meadows, and mangrove forests – are hotspots for biodiversity, vital for human wellbeing1. Long-term losses in their extent due to land conversion and climate change
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program focuses on translational, laboratory-based, and mechanistic studies aimed at understanding how host-microbe interactions impact conditions such as recurrent urinary tract infections (rUTIs) and
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composition, this research aspires to create a novel, immersive, and participatory artistic experience that redefines the relationship between embodied performance and digital interaction. Supervisory Team
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therapeutic product. The PhD project is centred on understanding the biological mechanisms of selective interaction with cancer cells, uptake of NK-EVs into cancer cells, potential endosomal escape, and how
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Linguistics, with a degree in Computer Science, Artificial Intelligence, Linguistics or Engineering. Applicants with strong programming skills and interests in language models, interpretability, and human
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year project, funded by the DDLS program, we aim to develop AI-based tools in design of affinity ligands, such as the prediction of binding interactions between proteins. Data-driven life science (DDLS
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peatlands at their bioclimatic range limits. Peatlands are diverse wetland habitats that act as substantial terrestrial carbon stores, increasingly featuring in climate change mitigation strategies and the
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advanced analytics to benefit every patient interaction, clinical trial, and biomedical discovery and to enhance public health. This PhD is funded as part of the HDR UK Inflammation and Immunity Driver