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the causes and effects of biodiversity loss in the Anthropocene. As part of our strategic development, we launched an ambitious long-term research effort in “Anthropocene Biodiversity Loss” encompassing
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) with ideal conditions for balancing work and private life The chance to independently prepare and work on your tasks An interdisciplinary collaboration on projects in an international, committed and
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source of inspiration for innovative developments and scientific excellence, it contributes to shaping our society and our future. For over 35 years, the Fraunhofer Institute for Production Systems and
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Student or Scientific Assistant for Remote Sensing Data Processing and Cloud-based Workflows (f/m/d)
and socially sustainable agriculture – together with society. ZALF is a member of the Leibniz Association and is located in Müncheberg (approx. 35 minutes by regional train from Berlin-Lichtenberg
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technologies) development of data analysis plans data analysis of complex data from phenotyping, genotyping, sequencing and other omics sources collaboration with national and international partners presentation
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the application of data science to challenges in (organic) chemistry, with over 15 years of interdisciplinary research. Our data science team develops smart screening strategies and machine learning tools
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develop instrumentation to characterise water in situ on the lunar surface. We are currently involved in several flight instrument developments for the European Space Agency, one of which is the Rover
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of Pittsburgh. This interdisciplinary research aims to advance protein and RNA structural biology and drug interactions by developing and applying innovative ¹⁹F NMR methodologies to study biomolecular structure
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11.09.2025, Academic staff A Ph.D. position is available in the Professorship of Data-driven Materials Modeling to contribute to the development of efficient, certifiable, and practical solutions
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Scientist/Steward or Software Developer (f/m/d) to facilitate the development of ProteomicsDB with a good background in bioinformatics, data visualization, big data analytics at best in the context of mass