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uses cutting-edge techniques including single-cell and spatial transcriptomics, proteomics, super-resolution microscopy, in vivo tracking, mouse models, and human patient tissues and iPS-derived cells
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the field of molecular biology for cancer and ideally who has recent experience of RNA-sequencing, flow cytometry, molecular cloning, transduction and orthotopic animal models. Previous experience with
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. You will work closely with technical teams to incorporate transcriptomic, proteomic, and other omics approaches, ensuring alignment across models and high-quality data generation to support robust
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the molecular signatures of proteostasis loss and identify early markers of proteostatic failure. The role combines wet-lab spatial biology with computational approaches. You will work across models and scales