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The Leibniz-Institut für Analytische Wissenschaften - ISAS - e. V. develops efficient analytical methods for health research. Thus, it contributes to the improvement of the prevention, early
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atmosphere in a very dynamic and professional team Extensive state-of-the-art equipment and infrastructure in various analytical methods The opportunity to present your data on international conferences and
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Leibniz-Institut für Festkörper- und Werkstoffforschung Dresden e.V. | Dresden, Sachsen | Germany | about 2 months ago
12 Jan 2026 Job Information Organisation/Company Leibniz-Institut für Festkörper- und Werkstoffforschung Dresden e.V. Research Field Engineering » Biomaterial engineering Engineering » Materials
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PhD Student (m/f/d) The Leibniz Institute for Food Systems Biology at the Technical University of Munich (LeibnizLSB@TUM), a legal foundation under civil law based in Freising, is a prominent member
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film characterization, x-ray spectroscopy or electrochemical characterization in desirable Fluent knowledge of written and spoken English High degree of motivation and reliability and analytical working
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and infrastructure facilities of the Leibniz Association . The DPZ’s Primate Data Science (PRIDAS) platform seeks to fill several positions for PhD candidates in Data Science (m/f/d). The central task
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19 Jan 2026 Job Information Organisation/Company Forschungszentrum Jülich Research Field All Researcher Profile First Stage Researcher (R1) Application Deadline 19 Jan 2038 - 03:14 (UTC) Country
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Infrastructure? No Offer Description Work group: IAS-9 - Materials Data Science and Informatics Area of research: PHD Thesis Job description: Your Job: Digital methods for inverse materials design are essential
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programmes at University of Tübingen and IMPRS Graduate School of the University and MPI for Biology in Tübingen. For information about our enrolment requirements and the general planning of the PhD study
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. To strengthen our research groups Food Biopolymer Chemistry and Mechanoreceptors we are currently looking for a committed PhD Student to start as soon as possible. The position is part-time (TV-L 13, 65%) and