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environment incorporating signal propagation. Develop signal processing and machine learning algorithms and methods for wireless localization and tracking of UEs in 5G networks. Perform software/hardware
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. SUSTAIN will tackle fundamental challenges across electronic textile-based sensing, wireless, electrochemical, and design technologies, with a focus on sustainable developments towards practical user
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challenges across electronic textile-based sensing, wireless, electrochemical and design technologies with a focus on sustainable developments towards practical user-centric e-textile systems. In these roles
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challenges across electronic textile-based sensing, wireless, electrochemical and design technologies with a focus on sustainable developments towards practical user-centric e-textile systems. In these roles
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experimentation in optical, wireless and cloud technologies. The position will be based in the School of Computer Science and Statistics,Trinity College Dublin, Ireland, and in the ADAPT centre. The researcher will
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to deliver the reconfigurable terahertz topological states for the application in the next generation of wireless communications. To be successful in this role, you will have: a PhD or equivalent qualification
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rigorous simulations and live demonstrations. This position is ideal for a researcher with a passion for solving complex problems at the intersection of wireless communications, edge computing, and machine
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of photonic microsystems, related technologies including nanoelectronics and wireless communication solutions, we create - in flexible and interdisciplinary teams - technologies for innovative products in a
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generation of wireless communications. To be successful in this role, you will have: a PhD or equivalent qualification (or be nearing completion thereof) in Physics/Optical Engineering or another subject
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solving complex problems at the intersection of wireless communications, edge computing, and machine learning, and who is eager to translate theoretical insights into practical, IoT systems. Key