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(master’s or equivalent) with excellent grades in the field of data science, material science, mechanical engineering, physics, or similar, with a strong machine learning or simulation background In-depth
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center, CRC 1719 ChemPrint “Next-generation printed semiconductors: Atomic-level engineering via molecular surface chemistry”. Your tasks Develop new approaches for electrodeposition of metals
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application to 2D framework materials. This development will be carried out in collaboration with the FHI-aims developer community. Applications of the method will be conducted in close cooperation with our
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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 Germany. It offers a modern, interdisciplinary, and
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arbitrary complexity and shape at the sub-nanometer scale. Such structures can be used to construct artificial cell mimics and new materials. A scaffold-free DNA tile assembly is a programmable method for the
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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 future of advanced air mobility through involvement in innovative drone-related projects that bridge technology, urban planning, material sciences, sensors and aviation. With the upcoming Smart Mobility
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on methods development in machine learning, uncertainty quantification and high performance computing with context of applications from the natural sciences, engineering and beyond. It is embedded in
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Theater and culture: special events, discounts and vouchers Application and Contact: Please send your application materials as a single PDF file to Prof. Dr. George Cutsail, george.cutsail@cup.lmu.de, using
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, discounts and vouchers Application and Contact: Please send your application materials as a single PDF file to Prof. Dr. George Cutsail, george.cutsail@cup.lmu.de, using GC-010 in the subject line. Your