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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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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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relative to own or related projects when requested; Contributing to the Centre’s training program by teaching and tutoring on internal and external workshops (online and in person); Contributing
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procedures, sets up recruitment commissions for scientific and technical staff, defines the Foundation's internal regulations, proposes amendments to the Statute, and submits the economic plan and financial
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. Experience in software development, research software engineering, machine learning engineering, data science, or similar roles. Strong programming skills in Python. Familiarity with scientific or machine