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lead analyses of large-scale datasets, applying advanced computational and statistical methods to integrate multimodal data (including MRI, MEG, EEG, and genomic data). The postholder will work with a
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related discipline (or near completion/pending results)* Strong experience in human neuroimaging, particularly in neonatal, infant, or pediatric MRI Experience with quantitative MRI methods (e.g. diffusion
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techniques Experience in protein expression and purification methods Good understanding of structural and molecular biology and biochemistry * Please note that this is a PhD level role but candidates who have
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Desirable criteria Knowledge of advanced statistical methods for analysis of longitudinal data (e.g., growth models) Experiencing of working with young people, schools, and / or people with mental health
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mammalian cell culture, molecular biology techniques, and transfection methods. Experience with biomaterials, nanotechnology, or medical device development. Demonstrated ability to plan and execute in vitro
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of study. They will have prior research experience of computational approaches and must also be able to demonstrate sufficient knowledge of the discipline, as well as research methods and techniques, to work within
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-delivered systemic anti-cancer therapies. It requires a unique blend of expertise in pharmaceutical science, drone piloting, and analytical methods. The postholder will contribute to pioneering approaches in