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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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Postdoc in Molecular Epidemiology – Statistical Genetics | Human Technopole, Milan Build the science that shapes the future of human health. Application closing date: 08.07.2026 Join a place where
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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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records, or other large-scale biomedical datasets. Experience with modern AI frameworks (e.g. PyTorch, JAX) and large-scale computing environments. Familiarity with human genetics is advantageous
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and computational expertise to support cutting-edge genomic research across the Centre. You will: Lead and conduct advanced statistical genetics analyses, including GWAS, polygenic risk scores, fine
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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
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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