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The Centre for Wireless Innovation in EEECS at Queen's University Belfast, is currently seeking to appoint an exceptional candidate to the post of Research Fellow to work for a major EPSRC project
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applications including human-machine interaction, health monitoring and wireless communication. However, the frequent and inconvenient charging issue significantly restrict their further developments
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to the project which aims to develop wireless network digital twin system for smart city logistics and applications. It includes performance analysis for 5G/6G system, developing machine learning (ML) / Artificial
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the next generation of WNs and ISs which must be more monitored, more controlled, more efficient, sustainable, and “smart”, in line with the UN Agenda 2030 and the EU Green Deal. A Wireless Sensor Network
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on thermoelectric hydrogels/ionogels. Recently, wearable electronics and sensors have attracted great attention for various applications including human-machine interaction, health monitoring and wireless
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experience in using modern ML methods in real-world applications and working in a collaborative setting. You will be a good communicator, enthusiastic researcher, team player, and enjoy working in a fast-paced
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Brno University of Technology, Central European Institute of Technology | Czech | about 2 months ago
materials, in particular focusing on wireless implantable biomedical devices. The research will feature microfabrication techniques in a cleanroom environment, for precise fabrication and testing of high
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The Centre for Wireless Innovation in EEECS at Queen’s University Belfast, is currently seeking to appoint an exceptional candidate to the post of Research Fellow to work for a major EPSRC project
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) to alter and ultimately control carriers within them and therefore their light output. The applications for this work include high-speed wireless communications and the development of new schemes
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conferences and/or journals. Working knowledge of the C/C++ or Python programming language. Working knowledge in binary analysis and code reverse engineering is advantageous. Familiarity with 5G and Wireless