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the transfer of expertise and practical skills, as well as instruction in the application of scientific methods in the Bachelor’s and Master’s programs according to the applicable LVNV, and teaching export
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numerical and experimental aspects, profound knowledge of control engineering, preferably with experimental experience, extensive experience in programming with at least Matlab or Python, high motivation and
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: A qualifying university master’s degree in physics, engineering, meteorology, or a comparable field. Knowledge of fluid dynamics or nonlinear systems Experience in programming with Matlab or Python
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coating, iii) investigation of system design from small-scale to potentially pilot scale, and iv) application to micropollutant removal. Modelling aspects are open to exploration at molecular and process
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collection programs (e.g. R, fomr) Very good English and German skills (or willingness to acquire them) Interest in media communication We offer Part of a young and dynamic Emmy Noether Research Group Diverse
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PhDGermany Find your suitable PhD opportunity in Germany. Find your suitable PhD opportunity in Germany. Back to Overview Working LanguageEnglish, German LocationMünchen Application Deadline15 Jun
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on the requirements of water in GH2 production from a technological, water quality, economic, and circular economy perspective. A preliminary research proposal is required for application, including a tentative
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experimental and will begin with an identification of a set of research questions based on a detailed literature survey. A preliminary research proposal is required for the application stage with a timetable for
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literature survey. A preliminary research proposal is required for the application stage with a timetable for a four-year research project. Execution of the research plan through conducting of experiments
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, Comparative Literature, American Studies, English Studies or German Studies and you have a suitable project idea, please apply by May 1, 2025! For more information on the research program, the respective