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The project will develop methods to measure local pH and O₂ levels within liver tissue, combining these data with spatially resolved single-cell gene expression of the same cells. The overarching goal is to generate quantitative models of how microenvironmental gradients regulate cellular gene expression in vivo, advancing towards a molecular physiology models of organs.
Job Responsibility:
Conduct independent and collaborative research within the project’s scope
May also contribute to teaching and supervision within the department
Requirements:
PhD in biology, bioinformatics, genomics, or molecular physiology (or close to completion)
Expertise in experimental genomics, cell biology and advanced live imaging techniques, and/or computational analysis of spatial omics data
A strong publication record, including one or more first-author papers in reputable journals in genomics, bioinformatics, or physiology
Excellent written and spoken English, with demonstrated ability in scientific writing and presentations
A genuine interest in interdisciplinary, collaborative research
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