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Heidelberg University is a comprehensive university with a strong focus on research and an international standards. With around 32,200 students and 9,540 employees, including numerous top
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Heidelberg University is a comprehensive university with a strong focus on research and international standards. With around 32,200 students and 9,540 employees, including numerous top researchers
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), including data cleaning and statistical analysis; familiarity with diagnostic/screening test evaluation methods (e.g., sensitivity, specificity, ROC analysis) and/or qualitative or mixed-methods design is an
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conditions for high-impact analytical work and method development. A broad and diverse project portfolio spanning basic biology, translational and clinical research – ideal if you like variety and scientific
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rotations and thesis projects Progress toward your doctoral degree by fulfilling doctoral program requirements and preparing your dissertation Your Profile Completed or near-completed Master's degree
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networks, and effects of microbiome-modulating strategies Apply state-of-the-art microbiological methods (aerobic/anaerobic culture, quantitative assays, imaging/analytics as appropriate) and coordinate
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theoretical knowledge and background in molecular biology and related methods is required Knowledge in immunology and bioinformatic skills, as well as experience with high-throughput sequencing data generation
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). Quantitative analytical methods will include UPLC-MS/MS as well as mass spectrometry-based analysis of dipeptide-protein interactions, supported by rigorous statistical evaluation. The candidate will be working
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computational analyses, the project aims to identify predictive biomarkers of TEAD inhibitor response and resistance, design rational combination therapies and to establish the foundation for biomarker-guided
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in the progression of cardiocrine signals to cardiac fibrosis. Utilizing excellent transgenic mouse models, hiPSC-derived cardiomyocytes in combination with computational approaches for big data