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developing representations, using neuroimaging with fMRI and OPM-MEG, and to model the developmental process using computational models from AI. The project aims to better understand infant cognition, develop
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developing representations, using neuroimaging with fMRI and OPM-MEG, and to model the developmental process using computational models from AI. The project aims to better understand infant cognition, develop
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machine-learning models to investigate how brain, environment and social factors influence cognition, ageing and neurodegenerative disease. The role will contribute primarily to WP6 and related analytical
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and learning practice. The aim of this evaluation is to examine the implementation of the Hub and its funded projects during the pilot phase, identify strengths of the model and operational structure
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, devising and applying a decision model, refining and conducting simulation studies, lead authorship of papers and reports, and presenting results to diverse stakeholder audiences. Applications
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or equivalent Skills/Qualifications Communication and interpersonal skills, Track record of high-quality publications, Experience of devising new methodologies to solve complex research problems Additional
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validation) of the fluid mechanics of a sample probe washing process in an immunoassay analyser system. The analysis methods will include computational multiphase fluid dynamics modelling, in laminar and