Job description

Tissue organization is achieved by the genome encoding both cell type identity and extracellular signaling, but how cell types, signaling mechanisms, and transcription factors jointly determine tissue structure is incompletely understood. The Koplev lab is recruiting an outstanding and ambitious postdoctoral researcher in computational biology to pioneer understanding and modeling of tissue architecture using single-cell and spatial transcriptomics data. The focus will be on development of novel computational methods with state-of-the-art machine learning for gaining fundamental insights into healthy and diseased human tissues of the heart, cardiovascular system, and gastrointestinal tract. The research will establish spatiotemporal models of human tissue architectures, revealing how niches form, change, and malfunction across human organs and diseases. This may include investigating tertiary lymphoid structures in inflammatory diseases, interorga...