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KTH Royal Institute of Technology, School of Engineering Sciences in Chemistry, Biotechnology and Health Job description Tissue organization is achieved by the genome encoding both cell type
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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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will be part of this research ecosystem. Project description A key missing capability in current cancer research is the ability to predict how a particular cancer cell will respond to a perturbation (e.g
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immunological readouts, we aim to decipher how mechanical and biochemical cues within the TME collectively regulate immune cell infiltration, activation, and therapeutic response. This work addresses a critical
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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