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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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qualifications are a plus: Experience in audio signal processing or speech processing. Experience in condition monitoring or predictive maintenance. Flexibility and self-motivation are desired skills at DTU. In
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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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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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The Department of Electronic Systems at The Technical Faculty of IT and Design invites applications for a postdoc in the field of Neural Speech and Audio Signal Processing as per December 1, 2025
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desirable that the candidates have 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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a demonstrated capability to successfully disseminate your research in peer-reviewed scientific journals as first author. You must have experience with signal processing of acoustic or high-resolution
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from a theoretical point of view and conduct empirical analysis. In particular: Developing a theoretical framework for exnovation that guides empirical research. Conducting, analyzing, and interpreting