187 computer-science-programming-languages-"FEMTO-ST"-"FEMTO-ST-institute" positions at Leibniz
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tools to evaluate the ecological role of parasites and virus in the Elbe Estuary. The work is carried out as part of the DFG Graduate Program “Biota-Mediated Effects of Carbon Cycling in Estuaries
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research institute for global economic affairs, combining cutting-edge research on par with leading economics departments with visible and lasting policy impact on the national and international level. For
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contexts beyond Palestine/Israel. It is expected to be funded under the Leibniz Cooperative Excellence program beginning in January 2026. Within the project’s framework, the DI is seeking to fill the
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Computing and Data Science, which is currently being established at JLU. At JLU, the professorship contributes to teaching at a rate of two semester hours per week. You will be responsible for teaching
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and assess their applicability in coastal environments. The position will be based in the ZMT’s program area (PA2) Impacts of Global Change and Adaptation and will actively contribute to its objectives
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risk prediction Analysis of primary and secondary data Preparation of reports and English-language publications Presentation of results at conferences Requirements: Completed degree in health sciences
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The German Maritime Museum – Leibniz Institute for Maritime History (DSM) is one of eight research museums belonging to the Leibniz Association. Its exhibition and research programme focuses
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-2025 Postdoc RENAT) in the field of political science and environmental policy, starting on 01.02.2026. The position is funded until 31.12.2026. Remuneration is in accordance with the German public
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NFDI4Biodiversity, part of NFDI, the German National Research Data Infrastructure Program. The project position is part of our Senckenberg Data and Modelling Center (SDMC) with experts in the areas of biodiversity
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://past2future.org ) with 24 partners. It has recently been funded by the EU horizon program. The aim of the position’s subproject here is to use latest spatially downscaled climate model results for the past (mainly