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physics, as well as by committing to organizational and implementation-related tasks within the Excellence Cluster. Further information about the Excellence Cluster can be found at: http://www.ml-in
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fees per semester in EUR None Semester contribution About 400 EUR per semester Costs of living About 1,000 EUR Funding opportunities within the university Yes Description of the above-mentioned funding
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the qualification phase and have a track record of successful supervision. Most of our courses at the bachelor's and master's level are taught in English, so corresponding English language skills are expected
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university, meaning that it does not charge tuition fees. However, all students must pay the so-called social contribution (semester fee) of about 330 EUR per semester. It includes a student transit pass for
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Photolithography for High-Throughput Applications”. About the Project: Our group, Transcriptome & Proteome Profiling at LSB, is pioneering next-generation approaches for high-throughput DNA synthesis using
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semesters Beginning Summer semester Application deadline November/December (For exact dates, check our website: https://www.gsoses-ur.de/ ) Tuition fees per semester in EUR None Combined Master's degree / PhD
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institutions, and a research and development provider for numerous companies throughout the world. The INM is a member of the Leibniz Association and has about 250 employees. The INM Energy Materials Group
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Brandenburg University of Technology Cottbus-Senftenberg • | Cottbus, Brandenburg | Germany | about 14 hours ago
Course location Cottbus Description/content About Research at BTU Cottbus-Senftenberg: BTU Cottbus-Senftenberg sees itself as a research-intensive university with a strong orientation both on basics
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to all other programmes in Hannover Biomedical Research School. https://www.mhh.de/hbrs International elements International guest lecturers Specialist literature in other languages Language training
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for the automated analysis of very large DAS datasets will be systematically extended. The doctoral research topic focuses on the localisation of seismic noise sources using machine learning. About your role