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in the Division of Proteomics of Stem Cells and cancer, headed by Prof. Jeroen Krijgsveld. Our division develops innovative proteomic approaches to understand proteome regulation in cancer, both in
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resistance and relapse. Our ultimate goal is to develop new anti-leukemic therapies. We are searching for a highly motivated and dedicated student with a strong background in molecular biology and/or cell
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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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datasets (e.g. scRNA-seq) to derive prior knowledge on AML dormancy Develop and apply integrative data analysis pipelines (e.g. MOFA, Scriabin, LIANA+, COSMOS) for mining and interpreting multi-omic datasets
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english (written and spoken) are expected We offer Goal-oriented, individual training and development opportunities Working with the latest techniques / technical equipment Possibility of doctorate
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offer Goal-oriented, individual training and development opportunities Working with the latest techniques / technical equipment Possibility of doctorate Possibility to publish scientifically is offered
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offer Goal-oriented, individual training and development opportunities Working with the latest techniques / technical equipment Flexible working hours within the framework of flexitime Possibility