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Description Temporarily, Full-Time (100% FTE) position with the University of Hawai‘i (UH) at Manoa, College of Engineering, working on signal control and maintenance project. The traffic signal
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and LOFAR-EoR projects to develop new methods for separating the redshifted 21-cm signal, in preparation for future SKA analyses. They will work on a central challenge in the study of the Cosmic Dawn
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imaging, including conducting semiconductor sensor fabrication, modeling and characterization; analog, digital and/or mixed-signal circuit design; development of other readout hardware, firmware and
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enabled hearing, as described in this pre-print: https://www.biorxiv.org/content/10.1101/2025.07.16.665227v2 The full job description is available here: https://www.dropbox.com/scl/fi
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hearing, as described in this pre-print: https://www.biorxiv.org/content/10.1101/2025.07.16.665227v2 The full job description is available here: https://www.dropbox.com/scl/fi/1qx5sh5sxjki1ivmnqvbr
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analysis, aimed at understanding how the human brain encodes information. The position is placed in the Digital Signal Processing and Image Analysis group (DSB), Section for Machine Learning, Department
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Antipolis technology park, in a dynamic ecosystem that brings together academics and companies of all sizes. The Signal team of the i3S Laboratory ( https://i3s.univ-cotedazur.fr/signal ), aims to develop
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demodulation techniques, and the development of signal-processing methods adapted to new sensing applications. The postdoctoral researcher will work within a multidisciplinary team combining
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Eindhoven University of Technology (TU/e) | Eindhoven, Provincie Noord-Brabant | Netherlands | about 1 month ago
improving performance in wired/wireless communications and advanced sensing, is pushing the integration of analog/RF/mm-wave and mixed-signal systems. In these domains, energy-efficient wideband signal
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daily use out of the laboratory. In order to make BCI the next generation of intuitive interfaces, improvements are required in several areas, such as usability, signal acquisition techniques