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of the land ice contribution to sea level rise until 2300 with machine learning. You will develop probabilistic machine learning “emulators” of multiple ice sheet and glacier models, based on large ensembles
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split 0.5FTE on the UKRI Medical Research Council funded project STARS: Sharing Tools and Artefacts for Reproducible Simulations in healthcare ; and 0.5FTE on the Health Service Modelling Associates (HSMA
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expertise in analysing/ training models on biological or chemical datasets Proficiency in Python for data science and machine learning Possess sufficient breadth or depth of specialist knowledge with deep
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morphogenesis and the action of morphogens. We use animal models to investigate the physical morphogenesis of tissues. It is part of the vibrant and supportive environment of the Centre for Craniofacial
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of tumour mouse models and assess the antitumour effect of this therapeutic method. The candidate should have the skills to develop patient derived organoids for orthotopic injection in mice. The candidate
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vitro and in vivo infection models, and both microscopy and flow cytometry-based readouts of infection to develop their independent research project and will also be expected to collaborate more widely
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structural development over time at the group, sub-group, and individual level (e.g., using normative modelling and clustering approaches to parse heterogeneity). The candidates will further have the
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and/or flow cytometry-based readouts of infection Experience with biochemical assays (e.g. Western blotting) Experience handling/processing samples in vivo infection models and/or human samples
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dedicated to development, translation and clinical application within medical imaging and computational modelling technologies. Our objective is to facilitate research and teaching guided by clinical
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Guy’s Campus, Denmark Hill and UCL. About the role: To investigate the cellular mechanisms underlying schizophrenia-related symptoms in animal models (mice), in the context of a collaborative project with