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reciprocal suitability, severely-disabled applicants as defined in SGB IX will be preferred. For further information, please contact Ms. Arya Das at a.das.leibniz-lsb(at)tum.de . To apply, please submit your
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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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suitability, severely-disabled applicants as defined in SGB IX will be preferred. For further information, please contact Ms. Arya Das at a.das.leibniz-lsb(at)tum.de . To apply, please submit your CV, letter of
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epidemiologist/statistician with experience in designing epidemiological studies and analysing data to join our team and add their complementary skills. The applicant will be based in Hamburg, Germany, and must be
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As the German National Library of Science and Technology our future-oriented services ensure the infrastructural requirements for a high-quality supply of information and literature for research in
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information about the Institute see www.leibniz-fmp.de . For questions please don’t hesitate to contact Prof. Adam Lange (alange(at)fmp-berlin.de ) How to apply: On the FMP homepage please go to
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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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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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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