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severe side effects. A major challenge is monitoring treatment efficacy in detail and detecting relapse early. This project addresses that challenge by analyzing cell-free RNA in patient blood samples
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perturbation-based GRN inference for single-cell and spatial multi-omics data, to boost GRN quality and add the cell type and tissue heterogeneity dimensions to causal regulatory analysis. A deep learning
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structures and cellular processes to human health and global ecosystems. The SciLifeLab and Wallenberg National Program for Data- Driven Life Science (DDLS) aims to recruit and train the next generation of
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cellular processes to human health and global ecosystems. The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS) aims to recruit and train the next generation of data-driven life
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the Department of Molecular Biosciences, The Wenner-Gren Institute (MBW) experimentally addresses fundamental problems in molecular cell biology, integrative biology, and infection and immunobiology
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artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and global ecosystems. The SciLifeLab and Wallenberg National
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perturbation-based GRN inference for single-cell and spatial multi-omics data, to boost GRN quality and add the cell type and tissue heterogeneity dimensions to causal regulatory analysis. A deep learning
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small-angle scattering (SAXS, SANS) or similar techniques Ability to work independently Ability to collaborate constructively with external partners Meritorious: Experience in cell culture and