86 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Bournemouth University" uni jobs at Leibniz
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(at)senckenberg.de For more information on the Research Fund, please contact: Prof. Dr. Ottmar Kullmer via e-mail: ottmar.kullmer(at)senckenberg.de . For data protection information on the processing of personal data
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. https://jobs.zalf.de/jobposting/0fb81dd83f07b2a8b4fad2619cdfdef12fc45ef60 The deadline for applications is 10 DECEMBER 2025. If you have any questions regarding the research profile of this position
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organic material Data evaluation using suitable statistical methods Presentation of research results in the form of scientific publications, conference papers and reports Cooperation with other marine
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positive evaluation. Data Steward (m/f/d) The Leibniz Institute for Surface Engineering (IOM) is researching new functional and precision surfaces for applications of high societal relevance and emerging
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or applicants with equivalent status are expressly welcome. Further information can be found at: https://www.ipb-halle.de/en/institute/ Data protection: Please note, the data protection information for applicants
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audit of berufundfamilie gGmbH - an initiative of the Hertie Foundation. Further information can be found under: https://www.naturkundemuseum.berlin/de/jobs-und-karriere/arbeiten-am-museum-fuer-naturkunde
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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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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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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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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