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Field
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processes, in order to explain their long-term developments and to understand how they resonate into the present (https://www.uni-kiel.de/en/cluster-roots ). ROOTS combines expertise from a wide array of
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of dynamic processes to address global challenges, from mitigating the impacts of natural hazards and sustaining our habitat amid global change to responsibly managing georesources. We are part of
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documents or collected during the interview process will be processed exclusively for the purpose of conducting the selection procedure for the advertised position. The legal basis for this data processing is
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The Leibniz Institute for the History and Culture of Eastern Europe (GWZO) conductscomparative research into historical and cultural developments and processes in the region between the Baltic Sea
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of dynamic processes to address global challenges, from mitigating the impacts of natural hazards and sustaining our habitat amid global change to responsibly managing georesources. We are part of
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‘, bridges the different techniques developed within the cross-area imaging and gives support to all researchers dealing with image processing challenges. By focusing on automation and enabling correlative
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in an exciting research project on the topic of secure energy supply A further processing of the topic within the scope of an internship, bachelor or master thesis is possible. Flexible working hours
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process. Marie Skłodowska-Curie MasterClasses: three online workshops between June and July 2026 on how to plan and write a successful proposal. 1 to 1 feedback and consultation with experienced grants
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, industrial and energy systems into a sustainable bio-based circular economy. We develop and integrate techniques, processes and management strategies, effectively converging technologies to intelligently
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Helmholtz-Zentrum für Infektionsforschung GmbH | Braunschweig, Niedersachsen | Germany | 12 days ago
diseases (e.g.,dengue), using multi-model ensembles and scenario-based projections.The project combines process-basedeco-epidemiological models with statistical/ML approaches and health-economicmodelling