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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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outputs will inform work undertaken in the group in several large collaborative grants and application areas, including cultural heritage, enterprise data management, and legal compliance. The ideal
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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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Wide Data-Driven Circular Economy of Industrial Robots”. The candidates are expected to have experience with robotics, artificial intelligence, and digital twins. We are looking for candidates who can
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analysis algorithms for the observation and interpretation of existing and new spectroscopic data of exoplanet atmospheres. Experience on cloud/haze microphysics modelling and large scale simulations is
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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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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 2025-2030
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) Experience of working with multiple stakeholders in complex systems. Experience in large scale simulations Experience in Bayesian methods Experience using CRAFTY agent based model Full details of the role and
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developed new food applications to impact blood glucose control, collected big data through citizen science to understand individual responses to food, pioneered the low FODMAP diet as a treatment for IBS
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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