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courses or doctoral candidates Selection Selection is made by the National Science and Technology Council - NSTC Further information National Science and Technology Council - NSTC https://www.nstc.gov.tw
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electrical engineering, computational engineering, or a related discipline A strong foundation in power system modelling and simulation Solid programming skills (Python, C++, or comparable languages) Interest
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it by utilizing heat. Modeling such a storage system allows the evaluation on overall process efficiency and comparison with state-of-the-art technology, e.g. reciprocating compressors. In your thesis
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professorship for Data Engineering for Data Science as soon as possible, subject to budgetary regulations. For further information, please visit: https://www.uni-rostock.de/stellen/professuren/ Where to apply E
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fossil fuel based ones. Applying a Choice of Technology Model to a database of processes used to produce various chemical products in different world regions the objective estimate impact of changes in
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characterisation Study of the degradation profile and publication of the results Your profile Completed university studies (Master, Diploma) in the field of Materials Science and Engineering, Electrical
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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 the country. Founded in 1828, today it is a globally oriented
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digitalized society, a climate-friendly energy system, and a sustainable economy. We focus on the natural, life, and engineering sciences in the fields of information, energy, and bioeconomy. We combine
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Your Job: Join the consortium research project LILLINT II, financed by the U.S. Department of Energy (DOE) and the Federal Ministry for Research, Technology and Space (BMFTR), of American and German
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edge of energy systems and computational engineering, developing scalable methods to simulate and secure IBR-dominated grids. Your key responsibilities include: Conducting large-scale simulations