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fabrication methods (robotics) while integrating real-time lifecycle data into decision-making that substantially reduces the construction phase’s environmental impact. The selected candidate will work on DTs
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Join us at the Department of Electrical and Computer Engineering at Aarhus University to help shape the future of sustainable water management. We’re looking for a motivated postdoc for a 1-year
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of TSN-based in-vehicle networks. These networks carry mixed-criticality traffic and use TSN with multiple traffic shapers and redundant communication. You will investigate methods for runtime analysis
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Join us at the Department of Electrical and Computer Engineering at Aarhus University to help shape the future of sustainable water management. In close collaboration with the Hydrogeophysic Group
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. Qualifications: You should have (or be close to achieving) a PhD degree. Background within computational methods for inverse problems, ideally tomography. Experience with development of numerical implementations
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of the position is to develop post-processing methods to extra essential features from the collected measurement data despite drone positional inaccuracy, irregular sampling grids, variations in measurement
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. The position focuses on frequency-domain electromagnetic (FEM) and transient electromagnetic (TEM) methods. The successful candidate will contribute to the development of an inversion framework for the joint
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, SDU Centre for Industrial Electronics and SDU Centre for Industrial Mechanics. The Postdoc candidate will investigate methods and tools for real-time embedded systems and functional safety concepts in