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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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academic qualifications at PhD level. Who we are The research group is recognized internationally as a strong research group in radio propagation and antenna measurements. The group also pioneered over
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requirements Appointment as a research assistant requires academic qualifications at master's degree level. Appointment as postdoc requires academic qualifications at PhD level. Who we are The research group is
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Postdoc – Performance requirements for biobased construction materials used in the building envelope
at Aalborg University’s Copenhagen campus. You will join the Building Physics research group at BUILD located at Copenhagen campus, which conducts research on correct construction techniques for both new and
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and high-performance computing resources. The position is 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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resources. The position is part of the AI RF Sensors research group, which develops AI-driven methods for RF, microwave, and wireless technologies in close collaboration with Danish and international
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the possibility of extension. The expected starting date is August 1, 2026 or soon thereafter. The candidate will be part of the Section Distributed, Embedded and Distributed Systems, and the research group Quantum
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, industrial production and management. The department has several strong, international and innovative research groups which comprise everything from basic science to strategic and applicable research
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constructions, industrial production and management. The department has several strong, international and innovative research groups which comprise everything from basic science to strategic and applicable
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Do you want to be part of a young, dynamic research group working on designing the next generation of sustainable energy materials using computational chemistry and machine learning? And do you see