46 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" uni jobs at Leibniz in Germany
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(DNA extraction, DNA quality check) Bioinformatic processing and analysis of next-generation sequencing data GIS-based landscape analysis Statistical modelling of the relationship between genetic
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-funded project with 23 partner institutions, that aims to create a robust monitoring network to: support the expansion, improvement and harmonization of existing data, knowledge, and monitoring approaches
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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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). The institute also maintains locations in Dedelow and Paulinenaue. The Research Data Management Working Group at ZALF is looking for a research assistant for data management tasks within the framework
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image analysis to establish objective, fast, and scalable testing methods for the textile and cosmetics industries. Your tasks Development and implementation of AI/ML models (Deep Learning, Computer
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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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(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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on microbial ecology working in an international leading agricultural research institution with disciplines from natural, social, and data sciences classification according to the collective agreement
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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/audit-berufundfamilie
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). The starting date will be as soon as possible. DSMZ and ZALF are members of the Leibniz Research Alliance „INFECTIONS“ (https://leibnizinfections.de/en/). This research network aims to use interdisciplinary