40 structural-engineering-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dip" PhD positions at Leibniz in Germany
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, stating the reference number 04-2026 until 06 March 2026 to (see button e-mail application below). https://jobs.zalf.de/jobposting/ab9685e2d92d73417710c560540da8e7fc8bece70 If you have any questions, please
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to the privacy policy on our homepage at https://www.senckenberg.de/en/imprint/ With the submission of your application, you consent to your personal data being shared with an external member 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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be applied to identify faint aerosol structures. Data evaluation is an essential part of the project work to distinguish between natural variability of the observed species and anthropogenic effects
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research project, and the training programme is available on the RTG webpage (https:// www.uni-goettingen.de/rtg2906). Applications are due by 15.01.2026. We ask you to submit your written application as a
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or see http://www.dpz.eu. For more information about the Leibniz Association see www.leibniz-gemeinschaft.de
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command-line environments (including remote systems via SSH) and Windows interest in modern software engineering practices (testing, code review, modular design) fluency in English as working language What
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density and neutral composition under different geophysical conditions, which have potential impacts on satellite operations. Your Qualifications / Experience: Mmaster's degree in physics, engineering
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physics, engineering, environmental sciences, or a relateddiscipline, is required. Basic knowledge and initial experience with experimental working methods (e.g.spectroscopy, laser physics) Fundamental
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Engineering and Research Institute (BAW) in Hamburg, Coastal Branch, which also funds the project, and in international cooperation with the University of Victoria in Canada. In addition to coupling the models