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informed neural networks (PINN) and explainable machine learning (EML) frameworks; experience in related technologies including large-scale data analysis, deep learning, Python, PyTorch; and the ability
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experience in one or more of the following areas: development of methods for multi-omics data integration, application of machine learning models in life science, single cell data analysis and spatial
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positions in our clinical and research (academic, community and translational) programmes. Applicants should have (i) a PhD degree from the University of good QS World University Rankings, special in
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