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for the development of THz frequency and hybrid semiconductor chips dedicated to 6G wireless communication systems. The given project is multidisciplinary – it covers and synergizes semiconductor nanotechnology
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well as extensive transferable skills in communication, teamwork and project management. Areas of expertise in the Department of Communications and Networking: Wireless communications, Optical communications, RF
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data (temperature, heat flux, electrical output) and contribute to model calibration and optimisation. 3. IoT Systems & Edge Integration Assist in integrating low-power wireless sensor nodes with
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information. We?ll also cover theory behind leading sensing technologies and data acquisition systems. Large-scale wireless sensor networks will be covered, and we?ll talk about data can be transmitted
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and high-performance computing resources. The positions are part of the AI RF Sensors research group, which develops AI-driven methods for RF, microwave, and wireless technologies in close collaboration
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industrial robotics, industrial IoT, 6G communication and wireless sensor networks as well as research and education within Life Science, smart electronic sensors and medical systems. The Department
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-HydroNet: A GNSS-reflectometry-based sensor network for investigating hydrological processes in Northern Finland. The work will contribute to the Digital Waters Flagship, bringing research and innovations
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; Telecommunications security, e.g., in the fields of 5G/6G, wireless networks, software defined networks (SDNs), and future Internet paradigms, underwater communications, satellite communications; Web security and
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sufficiently high for them to derive the full benefit from the network training Further details on Marie Skłodowska-Curie Early Stage Researcher eligibility criteria can be found on the following link (https
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of data converters, such as wireless communication, UWB ranging and automotive radar. It is worth noting that this research forms a crucial part of a collaborative initiative within a pan-European doctoral