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transform bold scientific ideas into advances that improve human health. Within this mission, the Health Data Science Centre develops advanced computational and machine learning approaches to analyse complex
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, the Giustacchini group aim to develop stem-cell-based models of paediatric leukaemia to understand how malignant haematopoiesis interacts with the immune system and to improve responses to CAR T-cell therapy. We
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, epidemiological, computational, machine-learning, and AI-based approaches to address biological and clinical research questions. Translate complex research questions into robust and reproducible analytical
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the development of skills in AI and machine learning, you will be embedded in HT’s Scientific AI flagship on Multimodal AI Across Scales , with access to cross-disciplinary AI expertise, and collaborate
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computer software; Assisting with preparing grant applications to secure further funding for relevant projects; Helping establish new projects and research consortia relating to the Zuccolo Group research