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. Multiple spatial signal paths are utilized to further scale up data capacity beyond the limits of a standard fiber. This research aims to develop Few-Mode MCF, integrating two advanced Spatial Division
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exascale applications. These patterns will be addressed iteratively through an agile co-design and co-development process with the application community. Exa-DI is seeking highly motivated researchers with a
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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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and innovation. We have the country's most satisfied university students, who receive research-based education in a unique student environment. Our graduates gain a high level of competence in
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. This technique is designed to optimize electrode topology and reduce access resistance. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR6164-MAXHAR-005/Candidater.aspx Requirements 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. TUD embodies a university culture that
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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. TUD embodies a university culture that is
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), Department for Scalable Data Analytics and Artificial Intelligence (ScaDS.AI Dresden) the Chair of Adaptive Dynamic Systems offers a position as PhD Student / Research Associate in FPGA Design for AI
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Discipline: Engineering & Technology, Materials Science, Mechanical Engineering Qualification: Doctor of Philosophy in Engineering (PhD) This project is a collaborative research effort between
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problems with a multidisciplinary character. Proficient in written and oral English (C1; above IELTS 7 or equivalent) You are able to design and execute your own research You have strong communication skills