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includes designing fusion proteins with various tags, producing viruses, transfecting human cells, and studying how these cell models are affected by small molecules and intracellularly produced peptides
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no later than the time the employment decision is made. Substantial research expertise in the field of image-based profiling and computational biology methods for single-cell or tissue data. Extensive
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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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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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. 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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science/physics/mathematics. Experience with ML implementation (ideally interpretable ML and/or generative AI) is required. The Selected postdoctor will be joining the Computational Microscopy for Cell Biology