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Excited about working in interdisciplinary teams in an international environment Very good English communication skills, written and oral Very good programming skills in at least one high level language
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represent stakeholder preferences. The integrated Research Training Group (RTG) will provide doctoral researchers with an attractive qualification program, foster networking, enable internationalization and
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and interaction of our structured graduate programme is English. Knowledge of the German language is not required, but we also offer German language classes at MPL and FAU. The aim of IMPRS-PM is to
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Degree PhD in Nanosciences Course location Osnabrück Teaching language English Languages English Programme duration 6 semesters Beginning Winter and summer semester Application deadline 15 January
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and image analysis. Programming skills in Python and ImageJ are advantageous. Interest in interdisciplinary and international teamwork. Excellent written and spoken English. Our Offer: We work on the
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Technology, Mechatronics, Robotics, Systems Engineering, Applied Mathematics, Technomathematics, Computer Science, Engineering Informatics, Theoretical Computer Science, Physics Description Description
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university degree (Master's, "Diplom" or state exam) in life sciences, medical sciences, pharmacy or related fields to apply for admission to the BIGS DrugS PhD programme. Language requirements English
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solely in English. Additional relevant course offers in German language may be taken by doctoral candidates proficient in German and will be acknowledged by the programme. Programme duration 6 semesters
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Max Planck Institute of Microstructure Physics • | Halle, Sachsen Anhalt | Germany | about 18 hours ago
are held in English. Participants can choose to write their doctoral theses in English or German. Programme duration 6 semesters Beginning Only for doctoral programmes: any time Application deadline There is
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. The research program may also involve a numerical simulation component. Your tasks #analyzing measurements of ocean turbulence using autonomous glider vehicles #use and develop machine learning methods