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members in data analysis best practice and accurate record keeping and will be encouraged to present at international meetings and publish in high-impact journals. A major component of the position will be
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Experience working with online assessment technology Advanced statistical analysis and modelling skills Programming skills, particularly MATLAB and/or Python Experience with analysis of brain imaging and blood
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, machine learning, multiscale and multiphysics simulation, computational anatomy, medical image analysis, and integration of wearables and biosignal processing, applied to conditions ranging from cardiac
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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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. Their key responsibilities will include conducting literature reviews and archival searches, identifying key litigations and legislations for in-depth analysis, writing up findings and producing research
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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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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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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