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data integration, cancer systems biology, and single-cell analysis, with strong links to clinical and translational oncology. Our work is based in the dynamic research environment of Heidelberg
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lines; generation of samples for proteomics analysis Data integration and analysis, including transcriptomic, proteomic and library screen data Target validation by CRISPR-Cas9 knockouts in primary AMLs
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overall goal is to pave the way for new cancer therapies. Mitochondria play a critical role in cancer progression by enabling metabolic adaptation in response to microenvironmental cues, contributing
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degree in (analytical) chemistry, biochemistry, or a related discipline Hands-on experience in mass spectrometry-based proteomics (e.g. DDA, DIA, PRM) Experience with proteomic data analysis Computer
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functional cell assays Interest in translational leukemia research and innovative imaging and omics technologies Bioinformatics experience, especially in R Ideally initial experience with image analysis, laser
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of the anaphase-promoting complex (APC/C) and the degradation of cyclin B1. If cyclin B1 levels fall below a critical threshold, cells undergo mitotic slippage, entering G1 without proper chromosome segregation
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of primary cardiomyocytes and analysis of contractility and calcium transients Establishment of in vivo disease models to test therapeutic efficacy of S100A1ct and other S100A1-derived peptides Interaction
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of experiments within the framework of the scientific project plan Develop and establish new methods in the laboratory to enable new research approaches Isolation of primary cardiomyocytes and analysis