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Medicine Hub for Applied Bioinformatics). We are looking for an ambitious candidate with established expertise in bioinformatics, specifically dealing with large data sets and data integration. Knowledge
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-resolution spatial transcriptomics and multiplex imaging, to turn large-scale data into actionable insights for both fundamental and translational research. About the role We are seeking a Senior
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at the intersection of obstetrics and imaging. The successful candidate will play a key role in recruiting and supporting pregnant participants, coordinating MRI scans, and inputting into data collection and analysis
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: interoceptive mechanisms of anxiety after cancer’. The award is supporting a large-scale collaborative research programme between KCL, UCL, Stanford University, and the National Cancer Institute (NIH) through
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the Medical Research Council. The Research Fellow will be using Natural Language Processing (NLP) methods, with a special focus on generative Large Language Models (LLMs), to interrogate a very large sample of
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Fellow will be using Natural Language Processing (NLP) methods, with a special focus on generative Large Language Models (LLMs), to interrogate a very large sample of Electronic Health Records from people
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About Us PharosAI offers a unique cancer AI product development ecosystem for drug discovery and clinical applications, democratising access to data, AI models, technologies, and capabilities
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. The postholder will work alongside a lived experience researcher and liaise closely with routine care psychological practitioners to facilitate recruitment, data collection, and for provision of technical support
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multi-centre observational studies involving longitudinal clinical data and biological sample collections (e.g. Biomarkers and Stratification To Optimise outcomes in Psoriasis (BSTOP) study, mySkinomics
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, early modern and modern world history. We are an intellectual home for scholars of every region of the world, who use approaches which range from local micro-histories to large-scale quantitative analysis