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, intelligent adaptive signal processing whose combined performance and resilience can easily exceed that of the sum of their parts. Distributed radar systems require a common sense of time, frequency and phase
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gestures and lip movements, even though these signals unfold over different timescales and provide different kinds of information? And how do neural oscillations support this process? We are looking for a
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simulation of scenarios with different materials and geometries. - Support the development and implementation of signal and image processing algorithms, including fast inversion techniques, FFT, and nonlinear
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incorporates the mechanisms that underpin the remarkable spatial perception of bats. By leveraging array signal processing to synthesize morphology-induced HRTFs without physical replicas, the project offers a
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The Institute of Public Health of the University of Porto (ISPUP) opens an international selection procedure for hiring a Doctoral Researcher to carry out research activities in the scientific areas Food
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Max Planck Institute for Biological Cybernetics, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | about 1 month ago
using functional MRI or ultrasound imaging. The Max Planck Institute for Biological Cybernetics conducts research that elucidates neurological processes across various organizational scales via
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 17 hours ago
to the characteristics of secondary substation signals. This includes testing event-detection strategies and comparing different model families to understand their strengths and limitations in this specific context
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Networking research group at CMI. We are a strong computer engineering environment with close and interdisciplinary collaboration with many different industries. How to apply *** Please apply by submitting
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resolution. This process offers strong potential for applications in clean energy, electronics, and other advanced technologies. The PhD will focus on extending this technology to high-melting-point metals and
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structural differences fundamentally shape how vibration signals are transmitted and recorded. This project will therefore investigate how these variations affect signal detectability and classification