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of Cardiovascular Research (DZHK) and the collaborative research center CRC1550 "Molecular Circuits of Heart Disease". Your Profile PhD in molecular biology, epigenetics, cardiovascular science, computational biology
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aromatic nanobelts. Your profile: We are looking for experimentally skilled candidates, ideally experienced in multiple-step organic synthesis The candidate needs to have a PhD degree in Chemistry (with a
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[max. 2 hours per week (per term/semester)]. Your profile: University degree (PhD / Dr. rer. nat. / Dr. Ing.) in the field of Physical Geography, Geoecology, Geoarchaeology, Environmental Sciences
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to publications, presentations, and open-source tools related to the project. Your Profile Required Qualifications PhD in Bioinformatics, Computational Biology, Computer Science, Physics, or a related field. Strong
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consortium partners Your Profile: Excellent PhD in electrical engineering, computer science, or a related field Proven track record of high-level research, demonstrated through peer-reviewed publications and
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to supervise PhD, Master and Dr. med (thesis as part of medical studies in Germany) students. The fellow will also have the opportunity to teach as part of the institute’s Masters and doctoral program but will
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new grant-application processes Partial project responsibility (e.g.: project management, coordination/supervision of experiments, etc.) Your Profile A PhD in Psychology, Neuroscience, Linguistics
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-reviewed journals. The postdoctoral fellow will have the opportunity to supervise PhD, Master and Dr. med (thesis as part of medical studies in Germany) students. The fellow will also have the opportunity
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neuropathology. Establish a generalizable workflow for multi-omics data integration and interpretation that can easily be adapted for different tumor entities and applications. Your Profile A PhD in Bioinformatics
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expertise and achieve optimal results. Your Profile A PhD in Bioinformatics, Computational Biology, or a related field. Proven experience in large-scale omics data analysis, preferably MS-based proteomics