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develop next-generation computational approaches to understand cellular and tissue biology from single-cell, spatial, imaging, and multimodal molecular data. You will develop models that capture cellular
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develop computational methods that connect human genetic variation to biological function. Using population-scale human genetics together with single-cell, spatial, and multimodal molecular data, you will
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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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a joint appointment between the Functional Genomics and the Molecular Cell Biology Research Centres, and jointly supervised by Dr. Lorenzo Calviello and Dr. Gaia Pigino . The position is financially
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with multi-omics and/or single-cell datasets. Experience applying machine learning or AI approaches to biological data. Experience with reproducible research practices and version control (e.g. Git
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created role, you will build the function from the ground up, working closely with researchers, institutional leadership, industry and investors to translate scientific discoveries into real-world impact