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, with a focus on child and adolescent mental health. The successful candidate will primarily lead analyses of large-scale datasets, applying advanced computational and statistical methods to integrate
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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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history or ethnographic skills to this project. While not required to have Digital Humanities methods (eg. coding, archiving, data scraping, data visualisation, digital story-telling), they should be open
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basic molecular biology and biochemistry techniques Experience in protein expression and purification methods Good understanding of structural and molecular biology and biochemistry * Please note that
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independently and to deadlines Experience of preparing and publishing papers in refereed journals and presenting at conferences Desirable criteria Knowledge of advanced statistical methods for analysis
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courses on research methods and equipment use. Strong communication skills are vital for writing up research findings, preparing materials for reports and meetings, and presenting research progress
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, or the health policy field to this project. The appointed person is expected to bring either oral history or ethnographic skills to this project. While not required to have Digital Humanities methods (eg
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history or ethnographic skills to this project. While not required to have Digital Humanities methods (eg. coding, archiving, data scraping, data visualisation, digital story-telling), they should be open
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*. Strong expertise in mammalian cell culture, molecular biology techniques, and transfection methods. Experience with biomaterials, nanotechnology, or medical device development. Demonstrated ability to plan
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, and non-academic outputs such as policy briefings and creative engagement. The role will report to Dr Sharli Paphitis, Senior Research Fellow in Qualitative Methods, and will be embedded in a