189 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" positions at Leibniz
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at GESIS – Leibniz Institute for the Social Sciences (Prof. Dr. Beatrice Rammstedt) and ifo Institute for Economic Research (Prof. Dr. Ludger Wößmann). Based on PIAAC and NEPS data, SKILLS will investigate
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homepage at https://www.senckenberg.de/en/imprint/ Please visit our website at www.senckenberg.de for further information about the Senckenberg Gesellschaft für Naturforschung.
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to address these questions using methods of applied econometrics, big data, and international trade theory. Join us! We, the ifo Institute, are one of the leading economic research institutes in Europe. We
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-page motivation letter, contact details for reference letters) by December 15th, 2025. Please use our online application system - https://www.leibniz-inm.de/en/job-offers-2/ The INM practices an open and
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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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. If you do not yet have a transcript evaluation, please note that you may have to request one if your application is successful. For further information, please visit the website: https://www.kmk.org/zab
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information, please visit https://www.kmk.org/zab/zeugnisbewertung.html . By submitting your application, you consent to the processing of your personal data for the purpose of the application process. Our
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of 1 or 2 references Submission will be accepted until 30 December 2025. https://www.leibniz-inm.de/en/job-offers-2/ For more information on the institute, please see: https://www.leibniz-inm.de/en
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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