81 network-coding-"Chung-Ang-University"-"Chung-Ang-University" Postdoctoral positions in Denmark
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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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large international network. Furthermore, we collaborate extensively with other groups, including both clinical and basic pharmacology researchers as well as environmental medicine specialists
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national and international research networks time spent abroad working at one or more internationally recognised research institutions. Finally, applicants are asked to provide a proposal for research to be
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new coding languages will be preferred. Proficiency with advanced statistical analysis techniques, demonstrated through mastery of one or more of complex modelling techniques (e.g., multilevel models
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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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infrastructure and lab facilities to conduct world-leading fundamental and applied research within communication, networks, control systems, AI, sound, cyber security, and robotics. The department plays an active
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research. The project will provide opportunities for collaboration on high-impact publications, networking with leading experts in business power and public policy, and participation in international
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a focus on mentoring and individual career development. Training in state-of-the-art technologies and data analysis as well as research management, oral and written communication, and networking
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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