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parking) 30 days of vacation Participation in the benefits program for employees („Corporate Benefits“) The advertised position is available for 3 years. We look forward to welcoming a team player with high
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Vacancy from 17/04/2025 ∙ Job ID: SMTH-348 The Leibniz Institute for Surface Engineering (IOM) and the Faculty of Mathematics and Computer Science at Leipzig University are seeking to fill the above
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Bachelor (advanced) or Master program with a focus on political science, economics, data science, statistics, or a related discipline; Excellent knowledge of the English language (the working language of
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The mission of the Leibniz Centre for Agricultural Landscape Research (ZALF) as a nationally and internationally active research institute is to deliver solutions for an ecologically, economically and socially sustainable agriculture – together with society. ZALF is a member of the Leibniz...
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The mission of the Leibniz Centre for Agricultural Landscape Research (ZALF) as a nationally and internationally active research institute is to deliver solutions for an ecologically, economically and socially sustainable agriculture – together with society. ZALF is a member of the Leibniz...
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The INM – Leibniz Institute for New Materials in Saarbrücken, Germany, is an internationally leading center for materials research, a scientific partner to national and international research institutions, and a research and development provider for numerous companies throughout the world. The...
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doctoral program, colloquia, workshops). Your tasks Building and consolidating training data from various projects in school and university contexts Structuring data access to provide high-quality data sets
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For its institute Senckenberg am Meer (SaM) with sites in Wihelmshaven and Hamburg, the Senckenberg Gesellschaft für Naturforschung, headquartered in Frankfurt am Main, Germany, is seeking to fill the following position based at SaM’s German Centre for Marine Biodiversity Research...
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datasets. Developing and implementing data processing workflows to create high-quality visualizations and maps. Utilizing PIK's high-performance computing cluster for spatial and temporal data analyses
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(Sondertatbestand), ZMT is strengthening its capacities in the field of modelling and adding predictive aspects to its existing research programmes. The institute’s five Programme Areas (PAs) are interdisciplinary