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the multimodal nature of cancer data. This includes data heterogeneity and hidden correlation structures, and their impact on learning performance. Implement and extend privacy-preserving techniques, particularly
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component both for AI-driven modelling and predictions, and for bioinformatics analyses of wet-lab data. This will be performed by an excellent team of computational biologists with whom we have a long
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About us The Faculty of Natural, Mathematical & Engineering Sciences (NMES) comprises Chemistry, Engineering, Informatics, Mathematics, and Physics – all departments highly rated in research
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engineering and physics laboratories, high-performance computing, and industry collaboration through the London Institute for Healthcare Engineering. About The Role We are seeking a highly motivated Research
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, state-of-the-art laboratories, high-performance computing, and industry collaboration through the London Institute for Healthcare Engineering. About the role We are looking for a highly motivated