35 software-testing-short-course Postdoctoral positions at Aalborg University in Denmark
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understanding of the physical processes of the wave structure interaction. The postdoc position aims at developing a state-of-the-art methodology for accurate testing of such structures in our physical wave basin
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theyoftenfall short due to data limitations and model simplifications. Recent breakthroughs in data assimilation (DA) and machine/deep learning (ML/DL) arechanging the game. With new satellite missions like SWOT
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particular focus will be on understanding and mitigating key aging mechanisms, such as lithium plating on the anode, through both modeling and laboratory experiments. You will work with small battery cell
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expected to include hardware which responds to our own proprietary software. There will also be some logistics which need to be handled and therefore the postdoc is expected to be mobile to some degree. Your
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for lithium-ion battery testing integrated with an EIS system. Through design-of-experiment, the setup will be employed for controlled aging of the cells. Diagnostics and characterization will follow, including
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environment. Candidates based in the EU who can start at short notice will be given priority. Who we are You will join the Department of Electronic Systems at Aalborg University, a leading European environment
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to ongoing research projects and actively support the development of future research initiatives. The candidate should be able to highlight research activities in the form of ISI’s Web of Science publications
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compatibility and filter design in power electronics. Proven-records in peer-reviewed publications in the most recognized power electronics journals. Hands-on experiences in experiment development and testing
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Integration and testing on robotic platforms in the lab and in field-like conditions The assignments for a Research Assistant include developing solutions for the technologies within the consortium, as
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the Sydhavnen district—a dynamic hub for research and innovation. It hosts strong research groups in artificial intelligence, machine learning, software engineering, data science, and cyber-physical systems