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new method to study human pancreatic tissue slices using high-resolution calcium imaging in combination with spatial transcriptomics. The researcher will develop methods to improve the viability
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on the regulation of protein translation and stop codon readthrough (SCR). The primary objective is to identify/isolate trans-regulators that control SCR in a temporal and spatial manner. This will be done by
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-institutional constellation of SciLifeLab researchers and infrastructure units. The Human Protein Atlas (HPA) is a large-scale international effort to map the spatial distribution of proteins in human cells
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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
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. A central goal is to integrate spatial imaging data with time-resolved molecular measurements, while incorporating physical and biological constraints directly into the model architectures
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focuses particularly on understanding how the tumor microenvironment (TME) undergoes architectural remodeling – including changes in extracellular matrix composition, tissue mechanics, and spatial