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will on-board and oversee data collection and analysis for an at-home acceptability study in participants with chronic lung disease. The successful candidate will ascertain the acceptability of using
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teaching hospitals, the department works closely with clinicians and other research groups to ensure strong translational impact. Its mission is to revolutionise healthcare through data‑driven modelling
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managing and converting between file formats Experience with spatial data analysis tools/platforms (e.g.: napari) Programming skills working with image data in Python Experience with metadata, data
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to delivering optimal gout care, by conducting focus groups, stakeholder engagement work, and qualitative data analysis. They will support the development of interventions to address identified barriers
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culture, cytokine and protein analysis (Luminex/ELISA), qPCR, and bioinformatic analysis of bulk and single‑cell RNA‑sequencing and/or CyTOF datasets. You will be expected to analyse and interpret complex
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/experimental design and analysis of complex research data. Advanced knowledge of preclinical (in vitro and/or in vivo) validation. Expertise in small animal imaging Possess excellent written and verbal
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design and analysis of complex research data. Basic knowledge of preclinical (in vitro and/or in vivo) validation. Expertise in bioconjugation techniques (peptides, antibodies) Excellent inter-personal
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part of a team Experience with data analysis and interpretation Strong problem-solving skills and ability to troubleshoot technical challenges * Please note that this is a PhD level role but candidates
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Development for more information. About you To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria Fluency in English Strong skills in
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of advanced statistical methods for analysis of longitudinal data. Demonstrated interest in working with people with neurodevelopmental conditions and their carers/supporters or interest in working in perinatal