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developing solid teaching skills. You are willing to work with problem-based learning and to involve students actively in their own learning processes through project work, supervision and dialogue-based
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At the Faculty of Engineering and Science, AAU Energy, a position as Postdoc in Electrochemical Impedance Spectroscopy and Advanced Signal Processing for Lithium-Ion battery diagnostics is available
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desirable that the candidate has a strong knowledge in at least one of the following research directions: array signal processing Radio channel sounding, estimation, and modelling Integration design of SDR
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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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to the project, uniting experts in battery technology and acoustic signal processing and machine learning. The goal is to harness advanced data science techniques to establish a novel paradigm for online non
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in robotics, AI, signal processing, and autonomous systems to join the SonicEye research project, funded by the National Defence Technology Centre (NFC) and conducted in collaboration with leading
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communication, applied AI, or a related field. You have experience with machine learning and signal processing, and preferably knowledge of RF or wireless systems. You can work with experimental data (e.g
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(WBG) based Resonant and non-resonant based power supply design 2) Ultra efficient point of load power supplies for cell level design 3) Adaptive pulse rise/fall time control 4) Modular power electronic