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investigating tertiary lymphoid structures in inflammatory diseases, interorgan endocrine signaling, the comparative niches of stem cells across tissues, or mechanisms of transcriptional regulation such as
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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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, differentiation, stress response, and apoptosis, yet it remains unclear whether these processes follow conserved organizational principles across cell types and experimental systems. Large-scale fluorescence
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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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. 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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(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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postdoctoral researcher will be involved into discussions within a broad range of fields including computational, medicinal and organic chemistry. Requirements PhD degree in biochemistry or structural biology
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and integrative (proteo-)omics expertise in the lab, guided by leading experts in terminomics, systems-level data analysis, and structural bioinformatics. Your profile A PhD in biology, biochemistry