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infrastructures organized in infrastructure platforms, of which the Vibrational Spectroscopy Core Facility (ViSp) is a central infrastructure for this project (https://www.umu.se/en/research/infrastructure/visp
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accurate, efficient, and robust AI models capable of operating effectively within complex and dynamic radiofrequency spectral landscapes, accounting for real-world interference, noise, and channel
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acoustic monitoring through research in dynamic noise mapping. You will develop real-time methods for road traffic noise assessment, including AI-based traffic classification and acoustic modeling of mixed
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for real-world interference, noise, and channel variability. You will collaborate with other members of the group who will support the practical deployment of the developed AI models on portable and embedded
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written proficiency in English. Strong experimental background within semiconductor-superconductor systems or very low noise microwave amplifiers. Assessment criteria This is a career development position