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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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states, tissue organization, and biological programs, and connect these representations to mechanisms of human disease. Your work will sit at the intersection of machine learning, computational biology
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identify the cells, cellular states, and biological programs through which genetic variation influences disease. Your work will sit at the intersection of statistical genetics, machine learning, and
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experiments, manage complex research projects, analyze mechanistic datasets, and communicate scientific findings through publications, grants, and conference presentations. Preferred Experience with CRISPR/Cas9