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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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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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the genetic architecture of molecular traits alone and in interaction with the environment. S(h)e will help in defining the direction of scientific work, conducting research, analyzing data, preparing the work
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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