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Leibniz-Institute for Plant Genetics and Crop Plant Research | Neu Seeland, Brandenburg | Germany | 5 days ago
Biological sciences » Botany Biological sciences » Other Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Germany Application Deadline 17 Sep 2025 - 23:59 (Europe/Berlin) Type
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or similar, obtained by the start date Experience in modeling using Python, MATLAB or similar Basic programming skills Proficiency in scientific English (written and spoken) Willingness to spend several months
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the knowledge graph Your profile Masters, Diploma or equivalent degree in Bioinformatics or similar, obtained by the start date Experience in programming and databases Basic biological understanding Proficiency
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%, limited for 3 years, start: as soon as possible) in the trilateral program “Future Proofing Plants to a Changing Climate” (funded by DFG, UKRI-BBSRC, NSF, USDA-NIFA) Who we are: The research group Symbiosis
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%, limited for 3 years, start: as soon as possible) in the trilateral program “Future Proofing Plants to a Changing Climate” (funded by DFG, UKRI-BBSRC, NSF, USDA-NIFA) Who we are: The research group Symbiosis
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collaboration low-temperature scanning tunneling microscopy (STM) as well as atomic force microscopy (AFM) in the workgroup of Prof. Manuel Gruber (UDE), and first-principles electronic structure calculations in
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Chemical synthesis by Professor Martin Weissenborn at MLU (AG Prof. Weissenborn ) Our Research Training Group BEyond AMphiphilicity – BEAM – combines highly original science and research projects that start
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projects that start off from the well-known and simple concept of amphiphilicity. We propose an innovative look at intermolecular interaction patterns that we foster and develop in research projects
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The thesis can be written either in German or French. However, it must contain a substantial summary (approx. 50 pages) in the other language. Programme duration 6 semesters Beginning Winter semester
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informative marker–trait relationships. You curate data in accordance with FAIR principles (Findable, Accessible, Interoperable, and Reusable) and integrate it with existing datasets of similar scope. Your