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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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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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statements to the Board of Trustees. It is a role of substantial responsibility, requiring sound judgment, institutional credibility, and a genuine ability to lead complex organizations. The Foundation
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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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and cutting-edge technologies converge to accelerate biomedical discovery. Our mission is to transform bold scientific ideas into advances that improve human health. About the role: The position will be
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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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on pregnancy and infant outcomes, and the role of pregnancy complications on long-term cardiometabolic health in women. Your mission As Postdoc you will be involved in or lead major projects to understand
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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