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loads. This will be explored by tailoring the hygrothermal performance of the materials, e.g. their heat release, moisture capacity and sorption kinetics, through tuning the material structure and
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etc.). These applications require well-functioning wireless network systems, with both extremely low latencies, robust and energy efficient connections, and an infrastructure that provides high
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landscape, the focus of this position is on process design, system integration, and optimization of performance. Teaching at first, second and third cycle level is a central part of the department's mission
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analysis and design are performed and can lead to novel high-performing methods for applications in machine learning, control, and beyond. Both PhD students will be financed by WASP – the Wallenberg AI
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of metamaterials. Our teaching includes courses in electromagnetism, basic and high-frequency electronics, as well as advanced device physics, at both undergraduate and graduate levels and within doctoral education