83 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" uni jobs at Leibniz
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provide corresponding debugging and/or performance analysis, document ICON model usage and workflows within MOD, as well as develop and extend in-house climate data processing and visualization software
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metabolic research is desirable, Experience using flow cytometric approaches (FACS) and/or animal experiments would be beneficial but is not required, Experience in evaluating ‘Omics’ data sets, especially
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analysis of existing long-term biological, chemical and physical monitoring data of German Baltic Sea coastal waters. Compilation and analysis of existing phytoplankton monitoring data with a focus on
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biological and fisheries data – including satellite observations, field surveys, stock assessments, catch and effort records – as well as outputs from climate and Earth system models. Work with size-spectrum
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monitoring scientific and qualitative standards for aerosol characterization Advancing technical innovations in the field of aerosol measurement technology and data processing Public representation of CAIS
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Applications should consist of a single PDF file. Applications via email are not encrypted and may therefore entail data protection concerns. The applicant takes full responsibility for this. Regarding any
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and taking minutes of meetings in German or English Maintenance of databases with scientific performance data Digitization and archiving of documents Collaboration in the optimization of processes Your
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and other stakeholders - knowledge-driven and application-inspired. To strengthen the Department Data Science in Bioeconomy we are offering the following position to be filled on 1st March 2026
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, and the climate, based on experimentally collected data, and to reconcile these findings with modelling approaches. Your tasks: Setting up an interdisciplinary working group on biogeochemical modelling
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, agricultural sciences, social sciences, and data science and further develop this expertise in the context of living lab research. The new organizational unit will also cooperate closely with ZALF's existing