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September 2026. For more information, including application guidelines, please visit our website: https://imprs-cpqm.mpg.de
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(primary cells and cell lines) Collaborate closely with colleagues across disciplines to integrate findings into a comprehensive model of atherosclerosis pathophysiology Analyze data, interpret results, and
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Knowledge and experience in the analysis of metagenomics and/or biological high-throughput data Knowledge of statistical methods in the context of biological systems Experience with programming (Python, Perl
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basic and multiomics data analysis, Flow cytometric analysis of immune cell populations Immunohistological staining and imaging Biochemical assays for cytokines and other inflammatory mediators Protein
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analysis and analytical data analysis workflows, together with other team members Implementing AI-based microscopy image analysis software as python packages Developing algorithms to deploy machine learning
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analyse and interpret data, and prepare manuscript for publication in peer-reviewed journal Requirements Master’s degree in cell biology, biotechnology, molecular biology, or related field background in
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of testicular tissue Validate gene expression at the protein level via IHC and Western blotting Analyze large-scale transcriptomic data (R, Python) Test allele-specific regulatory activity using luciferase
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like to more widely explore the possibility of computer simulations to refine the targeted synthesis even more and predict the self-assembly even better. Who we are · The Research Training Group RTG2670
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effector functions. Such understanding is essential for the development of new therapies against cancer and infectious diseases. Further information on our work can be found on our homepage and in our
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data analysis and quantitative evaluation of imaging or histological data Fluent in English and strong communication skills in an international team environment Benefits Opportunity to integrate into a