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modelling will be useful for evaluating these options. To that end, this team will develop a novel analytical simulation framework and use it to address these pressing questions, in close collaboration with
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guidance to 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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represents the first dedicated cancer immunology centre in the UK. The activities in this centre span from pioneering discovery science to applied research and preclinical modelling and, crucially, onto first
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guidance to 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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interpretation. This role will involve working closely with civil engineers, computational modellers, Physicists, and geophysicists to translate raw sensor outputs into actionable insights. Role Summary Lead data
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disparities, advancing interdisciplinary research and practice for sustainable and equitable economic models, and emphasizing policy’s role in mitigating adverse outcomes. With a PhD in a relevant discipline
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a dependency and therapeutic target in paediatric AML, by employing an integrated molecular approach encompassing RNA-seq, ChiP-seq and mouse modelling coupled with gene silencing technology. The post
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research project on cardiovascular risk prediction for people with immune-mediated inflammatory disease. The successful candidate will use advanced risk prediction methods to develop prediction models
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opportunities. Promotes equality and values diversity acting as a role model and fostering an inclusive working culture. Research and Dissemination: Propose, plan, and execute research, knowledge and technology
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time series modelling, age-period-cohort modelling and structural equation modelling. Whilst applicants need not to be familiar with ALL of these, they ought to be familiar with ONE (and to state in