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to the advancement of AI applications in biological sciences. This role presents a unique opportunity to work with pangenomic datasets while exploring the application of Large Language Models (LLMs) and machine
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and PhD students where appropriate to the discipline Contribute to developing new models, techniques and methods Undertake management/administration arising from research Contribute to Departmental
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Science methods and AI models while ensuring their principled and competent adoption across disciplines. Our approach is anchored in fostering an interdisciplinary and inclusive culture in research and
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studies, and computational modelling. They will have the opportunity to visit and work closely with our HFSP partners in Canada (Professor Alastair Simpson) and Denmark (Professor Thomas Kiørboe
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the environmental impacts of proposed processes and compare them with conventional alternatives. • Develop process models using industry-standard software (e.g., Aspen Plus, HYSYS, SimaPro, or equivalent
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such as participant observation, interviews, and surveys, the project will ask: What does co-creation mean for artists, participants, audiences, and locals? How can co-creation offer alternatives to models
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apply advanced computational tools and reproducible workflows to interrogate large-scale, liquid chromatography–mass spectrometry (LC–MS)-based comparative metabolomics datasets spanning a range of model
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evaluation of the feasibility and acceptability of a novel remote monitoring model in rheumatoid arthritis outpatient services across south-east London. KIS is a KHP-supported research programme aimed
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across scales ranging from single bacteria, single host cells, 3D in vitro models to infected hosts. We have developed new imaging technologies to visualise the interface between the host and the pathogen
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transduction and orthotopic animal models. Previous experience with CARTs, molecular cloning and animal models is essential. The post holder will join a team of scientists at ICH as well as linking with