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postdoctoral research associates. This is a mid-level PDRA position. The appointed person will use Digital Humanities methods to analyse and visualise qualitative narratives of pandemic relief work which
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, data normalisation and machine learning methods applied to biological datasets Experience with data management and version control (Git/GitHub, workflow automation, documentation) Capacity to work
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methodology, social sciences, or a closely related field (or near completion). Demonstrated experience in participatory, visual embodiment, and interpretive research methods. Track record of writing papers as
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interdisciplinary research and teaching at the intersection of the humanities and computational methods. The successful candidate will join the Computational Humanities research group, a vibrant and collaborative
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HEK293T cells and/or insect cell systems) cell culture Experience in basic molecular biology and biochemistry techniques Experience in protein expression and purification methods Good understanding
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: Essential criteria PhD in research methodology, social sciences, or a closely related field (or near completion). Demonstrated experience in participatory, visual embodiment, and interpretive research methods
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with quantitative MRI methods (e.g. diffusion MRI, QSM, relaxometry, or magnetization transfer imaging), Proficiency in neuroimaging analysis pipelines, including familiarity with tools such as FSL
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of Arts & Humanities. We are internationally recognised for our interdisciplinary research and teaching at the intersection of the humanities and computational methods. The successful candidate will join
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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