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Postdoctoral Position in machine learning IoT data (DESS) The Data Engineering, Science, and Systems (DESS) research group at Aalborg University (AAU) is seeking a postdoctoral researcher to
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in complex in-situ environments. The key responsibility of the position is to develop post-processing methods to extra essential features from the collected measurement data despite drone positional
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. We aim to recruit an excellent postdoctoral fellow to join our multidisciplinary team working at the intersection of immunology, molecular biomedicine, and data-driven biobanking research. Your work
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or soon hereafter. The position is a 3-year Post Doc. The department was established in 1975. Today, we are located in two beautiful harbour-front locations in both Aalborg and Copenhagen. We have more
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The project may address national or international problems, and should do so using appropriate methods, qualitative and/or quantitative. Access to Danish data sources, such as registry data, respondents
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closely with signal processing pipelines built on real measurement data — including baseband I/Q signals — and contribute to both algorithm development and experimental validation. The role involves close
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/simulations). The role involves e.g. signal detection in noisy & interfering environments; signal filtering; signal compression; processing of measured data from mmWave RF signals; radar returns; quantum
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algorithms into efficient edge inference systems, and validate end-to-end performance under real-world deployment conditions. Throughout, you will work with live measurement data spanning the full arc from
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postdoctoral researchers willberecruited to workcloselyacross the two AAU departments of Sustainability and planning (PLAN) and Computer Sciences (CS). The project’smethodological PI is Associate Professor
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methodological development and applied research by: Collecting, structuring, and analyzing data on existing energy supply (electricity, heating/cooling, fuels), infrastructure, and industrial consumption patterns