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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. TUD has established the Collaborative
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/InstituteIWR, MIISM, Heidelberg UniversityCountryGermanyGeofield Contact City Heidelberg Website https://www.thphys.uni-heidelberg.de/ Street Philosophenweg 16 Postal Code 69120 STATUS: EXPIRED X (formerly
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additional pension scheme. We welcome applications from all backgrounds. The promotion of diversity is an important strategic goal at our center. This is reflected in the BMC Code of Conduct , which actively
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researchers in chemistry, physical chemistry, physics, biophysics, biology, biomechanics, mechanical engineering and electrical engineering work together in the Cluster. The HEiKA Graduate School on “Functional
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organised in five divisions: Biology, Chemistry, and Process Engineering; Informatics, Economics, and Society; Mechanical and Electrical Engineering; Natural and Built Environment; and Physics and Mathematics
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/Province Baden-Württemberg City Tübingen Website https://uni-tuebingen.de/ Street Maria-von-Linden-Straße 6 Postal Code 72076 STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share
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scope of different subjects such as electrical engineering/electronics, microelectronics, microsystems technology, information technology, computer science, physics, chemistry, optics and manufacturing
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Leibniz Institute of Ecological Urban and Regional Development (IOER) • | Dresden, Sachsen | Germany | about 20 hours ago
Dresden University of Technology Course location Dresden In cooperation with Dresden University of Technology Teaching language English Languages The programme is conducted in English. Full-time / part-time
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and technologies. The institute employs an average of 500 people from over 40 nations and, in addition to its scientific tasks, is dedicated to promoting young scientists and engineers. Further
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Collaborative Doctoral Project (PhD Position) - AI-guided design of scaffold-free DNA nanostructures
-based digital twin, which can predict the assortment and sequence of two-dimensional all-DNA motifs required for the engineering desired tessellation patterns at the nanometer scale. We will use available