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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | 3 months ago
Research in Rostock, Germany, one of the leading centres for demographic research in the world. They will have the opportunity to apply for a place in the IMPRS-PHDS programme. For the remainder
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part-time, with 65% of the regular weekly working hours (currently 25.35 hours) and should be used for a doctorate. Participation in the accompanying doctoral programme is compulsory. This serves
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of mathematical models to the development of new imaging-related techniques and compounds. The programme is searching for excellent students who hold a Master's degree in Biology (or related fields), Physics
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English Full-time / part-time full-time Programme duration 6 semesters Beginning Only for doctoral programmes: any time Application deadline At any time to the principal investigators directly Tuition fees
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(Charité) Freie Universität Berlin (FU Berlin) Humboldt-Universität zu Berlin (HU Berlin) Bernstein Center for Computational Neuroscience Berlin (BCCN Berlin) Teaching language English Languages Courses
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delivered in English. The thesis has to be written in English or German, and the colloquium has to be held in English or German as well. Full-time / part-time full-time Programme duration 7 semesters
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pair distribution function (PDF) data for structure refinement and modelling of heterogeneous catalysts Publication of results in peer-reviewed scientific journals and presentation at conferences Your
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Degree Dr rer nat / PhD Geography Course location Göttingen Teaching language German English Languages Courses are held in English (75%) and German (25%). Programme duration 6 semesters Beginning
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Your Job: Maintain, and update quantitative methods for assessing economic impacts of the energy transition at the national and regional levels Develop dynamic and multisectoral economic models
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imaging techniques developing computational codes to process and understand large experimental datasets (e. g., image processing) analyzing experimental results; developing conceptual models and