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supported by the Human Technopole Ciliopathies Flagship Research Programme , a multidisciplinary initiative that brings together several Research Groups to dissect the molecular mechanisms underlying ciliary
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AI for Biomedicine to develop next-generation computational approaches to understand how cellular and tissue biology shapes human disease. Your mission As Postdoc in AI for Biomedicine, you will
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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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fundamental questions in biology using state-of-the-art technologies and large-scale datasets. Within this mission, the Biostatistics Unit of the Centre for Genomics – Population and Medical Genomics Programme
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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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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
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to characterize CAR T-cell activation, persistence, cytotoxicity, and tumour cell responses. Generate high-quality functional and single-cell datasets and collaborate with computational colleagues to uncover