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Science (IPS), King’s College London. We are seeking a postdoctoral research associate to contribute to an innovative medicinal chemistry project at the intersection of synthetic chemistry, metal chelation
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, integrate device engineering with clinical workflows, and apply artificial intelligence and machine learning for automated image and signal analysis, tissue classification, and real-time diagnostics
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isogenic mutant cell lines. Maintain up-to-date, accurate and comprehensive lab notes. Profiling experiments: Quality control analysis of human induced and embryonic stem cells. Morphological analysis
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in techniques of developmental biology and expert in mRNA detection using HCR technology. Experience in confocal imaging and 3D analysis of confocal stack is essential. The role is expected
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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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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
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social science research methods, including qualitative methods (e.g. interviews, ethnographic methods, documentary and policy analysis). Excellent writing and communication skills, with experience writing