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. Publish and present findings in international journals and conferences. Supervise and mentor junior researchers and students. Profile PhD in Computer Science, Biomedical Engineering, Data Science, or a
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(Sangeeta.Sharma(at)mbi-berlin.de or sangeeta.sharma(at)fu-berlin.de ). The application deadline is May 1st , 2026. For further information about the position, please contact Ms. Prof. Dr. Sangeeta Sharma
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/ Multi-Omics Data Integration Candidates with a strong background in bioinformatics, computational biology or epigenomics. Desirable experience includes single-cell and spatial omics analysis (scRNA-seq
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development for lidar control. Data evaluation is an essential part of the project work to distinguish between natural variability of the observed metals and aerosols and anthropogenic effects. Your
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engineering sciences or 500 EUR for projects in the humanities and social sciences. Application Papers You can find information on the application process and the link to the online application portal here
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on the true, astrophysical candidates is a computational needle in a haystack. To tackle these “big data” challenges, astronomers have begun to employ machine learning techniques. The application of machine
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: advising them on experimental design, sample preparation and data interpretation You contribute to the continuous improvement of workflows, quality standards and documentation within the core facility You
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immediately and continue until the position is filled. Preference will be given to applications received by January 15, 2026. Only shortlisted candidates will be contacted. Data Protection Information: When you
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of the Konstanz Research School Chemical Biology (KoRS-CB), an interdisciplinary graduate school of the Departments of Biology, Chemistry and Computer & Information Science. Our doctoral researchers are supported
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actively seek, select, and evaluate information to learn about the world. This is an open-topic position for doctoral or postdoctoral researchers who wish to pursue their own research ideas within the broad