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machinery that transports sphingolipids to the surface of Gram-negative bacteria. This exciting project combines cryo-electron microscopy, native mass spectrometry, proteomics, and bacterial cell biology to
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to, flow cytometry, ELISA, RT-PCR, bulk and single cell RNA sequencing, imaging and other emerging technologies (e.g. imaging mass cytometry, spatial transcriptomics, metabolomics/proteomics) – including
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samples from clinical trials, proteomic/metabolomic/lipidomic research, pharmacometric data analysis, and medicine quality research. The department is today one of the world’s leading laboratories
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culture (BSL1/BSL2), flow cytometry, transcriptomics and next-generation sequencing (NGS), proteomics, and basic molecular biology and biochemistry. Bioinformatics skills for the analysis of NGS data
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to characterise epithelial diversity. Findings will be validated using complementary methodologies, including mouse models, confocal microscopy, spatial proteomics, and 3D organoid co-culture systems
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to characterise epithelial diversity. Findings will be validated using complementary methodologies, including mouse models, confocal microscopy, spatial proteomics, and 3D organoid co-culture systems
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treatment response. This position will use metabolomics, proteomics, small molecule inhibitor screening and other cutting-edge platforms to dissect the metabolic architecture of cancer models that harbour
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of world-renowned researchers and educators have access to a state-of-the art core facilities and expertise, including for high-throughput screening, multimodality in vivo imaging, proteomics, integrative
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, Water Transport Assays, Self-Assembly, Cell Culture, Assay Development, Proteomics, Western Blot, Synthetic Inorganic Chemistry, Lipid Nanoparticles. About the role The Project In this project