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responsibilities Design, implement and benchmark deep machine learning models for large-scale cancer datasets that include genomics, transcriptomics, epigenomics and imaging data Collaborate closely with
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morphology imaging, and spatial transcriptomics—to identify altered cell states and mis-patterning events. The aim is to integrate computational and experimental approaches, including validation in vivo
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models in collaboration with our international collaborators. You would also develop advanced image analysis schemes to analyse the experimental data. Your focus would be to investigate the effect
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. In parallel with your experimental work, you would develop theoretical models in collaboration with our international collaborators. You would also develop advanced image analysis schemes to analyse