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, reproductive genetics, and mechanistic pathway analysis, and contribute to a project with direct relevance for future diagnostic tools and therapeutic approaches in human reproductive medicine. You will cover
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systems Data analysis, interpretation, and collaboration within the CRC: bioinformatics-assisted interpretation of molecular and functional data, close interaction with collaborating groups Your Profile
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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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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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cell sequencing datasets and to combine these data with AI analyses from bone marrow smears. We aim to analyze mechanisms and also to develop new biomarkers for therapy response and resistance. Job-ID
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for transplantation, isolation of cells, treatment with small molecule inhibitors Computational analyses of scSeq data with support of experienced computational researchers Literature research and manuscript writing
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on the same samples Integrate multi-omics data (e.g., using MOFA) to investigate how patient-specific tRNA modification patterns correlate with treatment response and survival Functionally validate candidate
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are especially invited to apply. Persons with severe disabilities will be given preference if they are equally qualified. Information on job advertisements and the collection of personal data is available
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be given preference if they are equally qualified. Information on job advertisements and the collection of personal data is available at www.uni-heidelberg.de/en/job-market .