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Stellenanzeige teilen wanted for the next possible date at the Department of Surgery, University Hospital Heidelberg for the Translational Pancreatic Cancer Research, AG Neoptolemos. Job-ID: V000014374 Field
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degree in molecular biology, cardiovascular medicine, biology or computer science Strong background in bioinformatics, mass spectrometry, epigenetic and NGS approaches preferred At least one first-author
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: Science and teaching Working hours: full-time Contract: TV-L Your tasks The available research projects aim to understand and develop strategies to treat heart disease You will combine epigenetic, chromatin
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qualitative proteomics Expertise in LC-MS/MS techniques, including eventually post-translational modification (PTM) analysis Proficiency with bioinformatics and statistical analysis tools, especially in R and
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Max Planck Institute for Nuclear Physics, Heidelberg | Heidelberg, Baden W rttemberg | Germany | about 1 month ago
well as software developments for many parts of the system up to high-level science analysis tools. The construction of the first CTAO telescopes in Chile will begin in 2026, in parallel to the first Pathfinder for
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Contract:TV-L Your tasks The available research projects aim to understand and develop strategies to treat heart disease You will combine epigenetic, chromatin interaction analysis and single-cell approaches
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working at the boundaries of several research domains PhD degree in computational biology, bioinformatics, systems biology, bioengineering, chemical engineering, or a related discipline Knowledge and
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-learning algorithms Versatile data-science knowledge, including image and DNA sequences processing Programming skills in Python or other modern programming languages supporting AI and bioinformatics
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, also German Independent working style combined with high initiative and organizational skills Basic knowledge of bioinformatics would be an advantage Your Benefits An excellent scientific environment
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19.07.2022, Wissenschaftliches Personal The Machine Learning and Information Processing group at TUM works in the intersection of machine learning and signal/information processing with a current