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transfer in the challenging underwater channel remains a challenge. This project will study UOWC and investigate approaches to link the underwater network to the much wider land and space communication
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networks and renewable-integrated buildings and communities. To increase operational efficiency, reduce losses, and extend the useful life of electrical equipment in LV distribution networks, power
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Carl von Ossietzky Universität Oldenburg | Oldenburg Oldenburg, Niedersachsen | Germany | 5 days ago
of Groningen. This position is embedded within the PROVIDE Doctoral Network (https://provide-dn.eu/ ), an international doctoral training program funded by the European Union that aims to address the global
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inclusive society programme. The project aims to address key challenges on enhancing climate resilience and sustainable development in rural and small urban communities by implementing transformative nature
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international community. Our success depends on a diverse team of analysts, researchers, and engineers who are passionate about understanding emerging technologies and applying best practices to support U.S
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communities by implementing transformative nature-based, technological and circular economy solutions. NURISH consists of sixteen international partners that perform research to address the need for more
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A position exists, for a Research Assistant/Associate in the Department of Engineering, to work on Optical Wireless Communication. The post holder will be located in West Cambridge, Cambridgeshire
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international community. Our success depends on a diverse team of analysts, researchers, and engineers who are passionate about understanding emerging technologies and applying best practices to support U.S
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Research Assistant (m/f/d) with a Ph.D. in Civil Engineering, Engineering Physics, Physics, Mathemat
communication and information management skills We offer: A varied and challenging job within a high-caliber network from politics, science, business and society Work in national and international networks with
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to up to 30 kHz leads to the massive production of data, for which fast (even quasi-instantaneous) processing via neural networks is crucial. Objectives and expected results: The PRICELESS PhD project