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data using ML modelling Construct, train, evaluate and deploy ML models for application to cell biology Curate large volumes of simulated data to assist with ML modelling for cell biology Undertake data
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representations of biocellular species over time Curate large volumes of simulated data to help develop persistent homology for cell biology Apply TDA to assist ML modellers with the feature engineering and
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for biological research. Successful candidates will have an interest in high-resolution imaging, phase retrieval, image reconstruction, inverse problems, and scalable computational approaches for analysing large
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