21 network-coding-"Chung-Ang-University" Postdoctoral positions at Technical University of Denmark in Denmark
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implementation of these within optimized computer code, but also large-scale applications of the resulting methods to various chemical problems of interest. Candidates with a strong background in theoretical and
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support society's need to regulate fishing. The section is internationally recognized and has a strong collaborative network within the development of fisheries technology. We offer a rewarding and
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POTENT project, we are working with Living Lab Networks including academic and industrial partners and ports to accelerate the green energy transition by investigating the use of ports as energy hubs
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. Furthermore, you will also have the opportunity to build a network, collaborate and disseminate your research at national and international conferences. Our section is diverse in nationalities, personality
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quantum light sources coupled to quantum memories. Quantum memories are key components of optical quantum computers and scalable quantum networks: They are responsible for the central tasks of storing and
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EURL activities - Assist in method development and validation - Contribute to technical reports, research projects, and scientific publications - Liaise with network partners across Europe as part of
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, cybersecurity, human-computer interaction, social networks, fairness, and data ethics. Our research is rooted in basic research and centres on mathematical models of the physical and virtual world, as a basis for
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in time-predictable computer architecture. Designing a network-on-chip for real-time automotive systems Verify the design with modern verification methods, such as function verification and formal
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and workshops. Collaborate with researchers from other institutions within our various collaborative grants and networks to advance the overall project goals. We expect you to: be motivated and
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, including artificial intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human-computer interaction, social networks, fairness, and data ethics. Our research is rooted