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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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vulnerability Single-cell and spatial transcriptomic analysis of treated organoids and tumour Computational modelling of cell state rewiring network Functional validation of identified targets in various tumour
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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
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the University of Oslo, industry partners and University College London (UCL). The successful candidate will work with and further develop the electricity system model highRES to analyse the role of batteries in