10 operations-"https:"-"https:"-"https:"-"https:"-"https:" positions at Human Technopole
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of the HORIZON EU-funded PRE-CVD project, working closely with the Project’s Scientific Coordinator (Dr. Zuccolo). Your mission As Scientific Project Manager you will act as the operational lead of the European
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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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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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of biological discovery. Your work will combine methodological innovation, biological discovery, and scientific software development at the intersection of artificial intelligence, computational biology, and
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qualified candidates to join its Management Committee, the governing body responsible for the operational leadership of the Foundation. The Committee appoints Centre Directors through international selection
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function at multiple scales. Our overarching goal is to achieve a mechanistic understanding of ciliopathies, a diverse group of human disorders characterized by heterogeneous clinical manifestations
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role sits at the interface between software engineering, machine learning and clinical translation. The successful candidate will work closely with data scientists, computational biologists, clinicians
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are seeking an ambitious postdoctoral researcher to establish in vitro reprogramming and differentiation systems for modelling leukaemia-immune interactions and CAR T-cell function. The successful candidate
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human health. Within this mission, the Technology Transfer Office transforms Human Technopole's scientific excellence into societal and economic impact. Operating at the intersection of science
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genetics, computational biology, machine learning, and AI. Grow your skills You will work alongside internationally recognised researchers in statistical genetics, genomics and computational biology