73 evolution "https:" "https:" "https:" "https:" "https:" "https:" "BioData" uni jobs at Leibniz in Germany
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increasing sustainable economic prosperity and social participation under constantly changing conditions. Want to know more about us and your career opportunities? Come and meet us at https://www.ifo.de/en
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homepage: https://www.leibniz-bips.de/en . Please send your application in English with the usual documents quoting the reference number A25 / 36 by December 7, 2025 by e-mail as 1 pdf to: bewerbung
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refer to the privacy policy on our homepage at https://www.senckenberg.de/en/imprint/ . For further information about the Senckenberg Gesellschaft für Naturforschung please visit www.senckenberg.de
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. 5 MB; packed PDF documents, archive files like zip, rar etc. Word documents cannot be processed and therefore cannot be considered!) and use the button “e-mail application” below. https://jobs.zalf.de
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. https://jobs.zalf.de/jobposting/0fb81dd83f07b2a8b4fad2619cdfdef12fc45ef60 The deadline for applications is 10 DECEMBER 2025. If you have any questions regarding the research profile of this position
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the project KOFI („Study on the development of carbon storage and biodiversity after exclusion of fisheries in the Natura2000 area Fehmarnbelt“) funded by BfN. The fixed-term position will start earliest
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focuses on Computational Metabolomics and develops methods for processing and interpreting mass spectrometry data in the context of plant biochemistry and biodiversity research. Your tasks: Development
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(TIB ) – Leibniz Information Centre for Science and Technology – Program Area C, Research and Development, is looking to employ a Research Software Engineer for Digital Research Infrastructure (m/f/d
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with coastal communities and tropical countries; assessing equity outcomes, vulnerabilities including gender-related empowerment; willingness and ability to work on scenarios; and the development
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sustainable management. This position is part of IGB’s strategic development to improve understanding of the structure and functioning of freshwater systems, to understand future distribution and abundance