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are using ferroelectric memories, which can calculate AI algorithms from the field of deep learning in resistive crossbar structures with extremely low power consumption and high speed. Furthermore, we
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capture, CO2 utilization and negative emissions options in a greenhouse gas-neutral energy system Your Profile: • Master`s degree in the field of natural sciences, engineering, industrial engineering or a
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Brandenburg University of Technology Cottbus-Senftenberg • | Cottbus, Brandenburg | Germany | about 20 hours ago
Degree Doctor of Philosophy (PhD) in Heritage Studies Course location Cottbus Teaching language English Languages All courses are taught in English. The dissertation is written in English, and the
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Brandenburg University of Technology Cottbus-Senftenberg • | Cottbus, Brandenburg | Germany | about 20 hours ago
The PhD programme is open to national and international students who hold a Master's degree or equivalent in Environmental Science, Environmental Engineering, Environmental Economics, Environmental
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Degree PhD or Dr rer nat Course location Hannover In cooperation with Leibniz University Hannover Helmholtz Institute for Infection Research Braunschweig Technical University Braunschweig University
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Master's degree / PhD programme Yes Joint degree / double degree programme No Description/content The International Max Planck Research School on Trustworthy Computing (IMPRS-TRUST) is a graduate programme
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central structure with a holistic approach to inform, support, and promote young researchers at all career levels: RUB Research School. RUB is a fully-fledged university hosting the full spectrum
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enrolled in our research-oriented PhD/doctoral programme. In our optics / photonics and quantum technology programme, we offer: high-end research and education in a world-class scientific environment with
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can be found on our website . Tuition fees per semester in EUR None Combined Master's degree / PhD programme No Joint degree / double degree programme No Description/content IMPRS-ML – A Structured PhD
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are using ferroelectric memories, which can calculate AI algorithms from the field of deep learning in resistive crossbar structures with extremely low power consumption and high speed. Furthermore, we