29 linked-data-"https:" "https:" "https:" "OsloMet storbyuniversitetet" Postdoctoral positions at Aalborg University in Denmark
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controlled by tailoring their microstructure and to develop a direct link as well as a closed loop between processing and fabrication of materials on one hand, and material characterisation and simulation
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-enabled cement systems (e.g., microbial–cement interactions or self-healing concepts) and linking material properties to functional performance. The postdoc is expected to contribute actively to scientific
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of climate change modelling and Carbon, Capture, Utilization and Storage. The position will be involved in a number of projects, involved in different aspects of linking climate change with energy system
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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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; measurement system characterization, e.g., validating platform performance such as dynamic range, linearity, phase noise and measurement uncertainty; automated test & data acquisition, e.g., using Python/MATLAB
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University (AAU) in Aalborg. This full-time position offers a unique opportunity to contribute to high-impact research in drones, AI, and human-computer interaction. Successful candidates will join a dynamic
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the project based on your interests and in collaboration with a leading architectural firm. The candidate is expected to publish in leading Human-Computer Interaction venues. Your competencies You hold a PhD
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how geometry- and data-driven digital twins of wireless environments can support learning, inference, and coordination in physical AI systems such as robots, vehicles, or distributed sensing platforms
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to data from various sensors and radio signals? This is the main underlying theme to be explored within this postdoctoral position. The appointed researcher will investigate how AI embedded in physical
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Postdoc – Performance requirements for biobased construction materials used in the building envelope
to ensure moisture-robust designs. In addition, competencies in data processing and integration, assessment criteria development, and practical construction knowledge are necessary to translate research