255 augmented-workers-using-smart-robats-in-manufacturing-cell Postdoctoral positions in Germany
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, Heidelberg and Mannheim, our scientists collaborate across disciplines to unravel the complexities of disease at the systems level – from molecules and cells to organs and entire organisms. Through strong
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cells on the progression of colorectal cancer both in basic and translational research. Another key goal is to identify the impact of intestinal microbiota on pathogenesis of visceral cancer. We utilise
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, and clinical information with imaging data. Explore and implement Generative AI approaches (e.g., data augmentation, reconstruction, simulation). Investigate and apply Vision-Language models for linking
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, biomechanics, single cell-analyses, advanced imaging, and animal models. Tasks: to actively pursue the proposed project with the aim of characterizing the molecular, biomechanical and functional mechanisms
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transporters, e.g. PIN auxin efflux carriers, in plant development. The projects routinely employ combinations of cell biological, biochemical and developmental approaches to deepen the understanding
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alters immune responses against vaccines using next-generation human tissue and organoid models. Current vaccines against infectious diseases and cancer benefit only a subset of patients, partly due to our
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suitability. With its focus on developing key technologies that are vital for the future and enabling the commercial utilization of this work by business and industry, Fraunhofer plays a central role in the
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its role in hematopoiesis over life time. We plan to employ inflammatory challenges and will combine experimental animal models with studies on human cells to translate principles and mechanisms
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disease variants, to gain insights into how cells adapt and work together to safeguard organ formation. Using advanced live-imaging techniques, the research team closely interrogates how developing tissues
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chronic autoimmune diseases of the nervous system. In this project, transcriptome data will be analyzed using state-of-the-art cell-based transcriptomics methods (single-cell RNAseq, single-nucleus RNAseq