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Field
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) engineering, computer science, or a related field You have very good knowledge of energy technology, energy economics, and energy policy You have already gained initial experience in energy system modeling You
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University Viadrina Frankfurt (Oder), Freie Universität Berlin, Technische Universität Berlin, University of Potsdam, ESMT Berlin, Hertie School, WZB Berlin Social Science Center Teaching language English
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jointly run by the Max Planck Institute for Informatics (MPI-INF), the Max Planck Institute for Software Systems (MPI-SWS), the Computer Science Department at Saarland University, and the
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systems for measurement processes, or innovative hardware and software for quantum computers and quantum sensors: we develop tomorrow’s technology in-house for a sustainable and secure society. Become part
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energy system model workflows Your Profile: Master’s degree in computer science, data science, natural sciences, economics, engineering, mathematics or a related field of study Huge interest in data
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or very good university degree (diploma, master's degree) in transport or related study programs (e.g., civil engineering, industrial engineering, computer science, etc) with a solid foundation in transport
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completed formal master’s degree programs (or equivalent) qualifying for a PhD program in epidemiology, statistics, and prevention and implementation science, or to have completed such a program by October 1
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of molecular, cellular and organ biology. Research is at the core of this doctoral programme. The thesis research will be carried out under the direct supervision of one member of the IMPRS faculty. Our IMPRS
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TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in Germany. It offers a modern, interdisciplinary, and international
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TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in Germany. It offers a modern, interdisciplinary, and international