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. The Hearing Systems Section is part of the Department of Health Technology. Our research focuses on auditory signal processing and perception, speech communication, technical and clinical audiology, auditory
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for space applications. The project aims to drastically reduce power consumption and data bandwidth while increasing processing speed and dynamic range compared to conventional image sensors. The technology
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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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(e.g., laser systems, modulators, optical signal processing). Proven independence in research, with a track record of creative problem-solving. A curiosity-driven mindset, eager to explore uncharted
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the Photonic Integrated Circuit based Systems (PICSys) group. You will work in a state-of-the-art environment for advanced optical and digital signal processing, and integrated photonics, with access to one
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Denmark. Contact information Deadline Applications must be received no later than 13 February 2026. Please make sure to indicate which of the three post doc positions you apply for. In the application, you
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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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(programming, digital signal processing, statistics) is sought. Qualifications Ideally, applicants for the position should satisfy the following requirements: PhD degree in psychology, cognitive (neuro)science
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in high-speed continuous-variable secure quantum communication using a broadband squeezed-light source and advanced digital signal processing (DSP). Leading the development of lightweight DSP pipelines