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is more diverse and dynamic than previously appreciated. This project aims to develop and apply a novel chemo-enzymatic method to label and extend the 5′ cap, enabling its detailed analysis through
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of experiments in the framework of the scientific project plan Preparation and presentation of project reports and publications Your profile PhD in biology, biochemistry or equivalent Broad expertise in basic cell
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sociology You show advanced skills in methods of empirical social research You are committed to innovative teaching You have an excellent command of English and German; additional languages and/or area
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ideas and prepare scientific publications Participation in national and international conferences and collaboration in research networks your profile PhD in Bioinformatics, Computational Biology, Systems
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population health issues. Methods used in the group’s work include quasi-experimental techniques, descriptive epidemiology, and randomized trials. The fellow will be expected to publish in high-impact peer
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invasive sensing tools to monitor metabolites, oxygen, carbon dioxide, pH, and other parameters. Ideally, the methods can function in parallel and on a large scale. The research is vital to understand key
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Cancer). Your profile PhD in Bioinformatics, Computational Biology, Data Science, or related field. Experience in multi-omics data analysis and/or drug screen data processing. Experience with HPC/cloud
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scientists and bioinformaticians at the national and international level Your profile PhD or equivalent qualification in computational biology, bioinformatics, or a related field in the computational
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: Heidelberg Job Category: Science and teaching Working hours: full-time (100 %) Published: 28.10.2025 Limitation:Temporary (24 months, extension is sought) Contract:TV-L Your Profile PhD in a relevant field (or
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interpret data. Contribute to publications, presentations, and open-source tools related to the project. Your profile PhD in Bioinformatics, Computational Biology, Computer Science, Physics or a related field