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allowance Selection Selection is made by the National Science and Technology Council - NSTC in Taiwan. More detailed information https://www.nstc.gov.tw/folksonomy/list/ad854ec5-b3d9-4e50-a521-7919449925f2?l
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quantification, and high-performance computing, with applications in the natural and engineering sciences. The position also includes teaching responsibilities equivalent to 4 contact hours per week, as
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PhD project involves interdisciplinary research at the interface of computer science and mathematics and addresses a complex, coupled inverse problem with explicit uncertainty quantification. Research
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Description TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. Founded in 1828, today it is a globally
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the Federal Ministry of Research, Technology, and Space (BMFTR). It includes an interdisciplinary training program based on the concept of a graduate school. In the 2nd year there is the option of increasing
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of Photogrammetry and Remote Sensing and together with other chairs being part of the RTG. Requirements: good or very good university degree in computer science, mechatronics, robotics, electrical engineering, or a
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Description TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. Founded in 1828, today it is a globally
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available in the further tabs (e.g. “Application requirements”). Objective The primary aim of this programme is to promote research projects within the context of doctoral programmes. Who can apply? Doctoral
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candidate will be embedded in the DFG Research Program RTG3120 on Biomolecular Condensates ( https://dresdencondensates.org ). Each PhD project is part of an interdisciplinary framework that includes shared
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or Leipzig University. AI is viewed as an interdisciplinary undertaking that requires talents in computer science, engineering, mathematics, social science, law, the natural sciences, and application areas