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Field
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Qualifications Experience in RNA biochemistry, molecular and cellular biology is required. Direct experience with proteomics, live cell imaging or super-resolution, virology, or protein biochemistry is preferred.
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extracellular vesicles (EVs) to T cells (groups involved: Clinical Peptidomics, Structural Proteomics and Cancer Immunology) 3). Development of the strategies preventing T cell reprogramming by cancer derived EVs
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datasets, including scRNA-seq, scATAC-seq, scCUT&Tag, HiC, and proteomics, with an emphasis on trajectory inference, regulatory dynamics, and cell fate decisions. A key goal is to integrate multimodal data
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Are you passionate about pushing the boundaries of protein science? We are seeking a talented and driven postdoctoral researcher to join a BBSRC-funded project in Single Molecule Proteomics
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. They will include genetic manipulations (RNA interference, CRISPR), transcriptomic and proteomic approaches, protein analysis (immunolabeling, Western blot, immunoprecipitation, purification), imaging (real
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, proteomics, metabolomics, or digital pathology data. Experience with clinical trial datasets, electronic health record data, cancer registry data, or other real-world clinical datasets. Familiarity with public
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development. We are taking advantage of multi-disciplinary approaches including integrated proteomics/bioinformatics analyses, in-depth biochemical studies and sophisticated genetic mouse models to dissect
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signalling, cell biology, mouse neurobiology, CRISPR gene-editing or proteomics to investigate the role of mitochondrial mechanisms underlying Parkinson’s disease. The project will be based in the Muqit Lab
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to integrate and analyze genomics, transcriptomics, proteomics, metabolomics, and microbiome datasets to uncover biomarkers, therapeutic targets, and mechanistic insights into complex diseases. The project
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for postdoctoral fellows. We are seeking highly motivated candidates to join our research program in regeneration genomics. Our laboratory develops and applies cutting-edge genomics and proteomics technologies