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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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supports projects across four strategic research areas: Cell and Molecular Biology, Evolution and Biodiversity, Precision Medicine and Diagnostics, and Epidemiology and Biology of Infection. The program
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of the largest pan-cancer signaling models in the literature. SPARCED is compatible with high-performance and cloud computing, can simulate thousands to millions of single-cell trajectories, is easily expandable
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Do you want to contribute to improving human health? We are a highly interdisciplinary research group at Karolinska Institutet, combining cutting-edge experimental biology with advanced single-cell
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for the position are: At least a Master’s degree in a relevant field, such as structural biology, bioinformatics, biochemistry, molecular biology, molecular genetics, molecular cell biology, or a related discipline
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subjects undergoing allergen-specific immunotherapy to study humoral immunity as it develops during such treatment. We use single-cell sequencing, next generation sequencing of antibody-encoding gene
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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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. Our research is focused on cell biology, spatial proteiomics and machine learning for bioimage analysis. The aim is to understand how human proteins are distributed in time and space, how this affects
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(SmT), spatial mass spectromety and CellScape in animal and plant tissues. In addition, the postdoctoral fellow will also apply single-cell multiomics. The postdoctoral projects will have a computational
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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