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., compressive sensing, wavelet transforms; adaptive filtering & interference rejection, e.g., Kalman filter, notch filter, spatial filtering; 4) time-frequency analysis & spetrual estimation, e.g. STFT
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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 Edge AI Implementation for RF Sensing and Anomaly Detection as per
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); - Experience with data balancing techniques; - Desirable basic knowledge of Multiple Input, Multiple Output (MIMO), Fluid Antenna System (FAS), and Compressive Sensing (CS); - PhD degree obtained within the last
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-edge research in LLM. Responsibilities Develop high-efficiency, small-to-medium LLMs optimized for the edge through advanced compression, quantization, and distillation. These techniques empower resource
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positions include 9/80 (work 80 hours every two weeks, with every other Friday off) and 4/10 (work 4 ten-hour days each week) compressed workweeks, part-time work, and telecommuting (a mix of onsite work and
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for entanglement detection and classification. The algorithms are supported by affordable, spatial surface and subsea sensing and a low-power edge computing to collect and compress datasets at-sea, allowing the
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computing, data analysis and visualization, computational imaging and spectroscopy, AI and compressive sensing, and quantum computing to develop robust solutions that bridge theoretical frameworks with real
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at the Division covers turbulent flow (both compressible and incompressible), multiphase flows, aero-acoustics and turbomachines. Our tools include both computations and experiments. The research covers a wide
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. Position description The Rube Lab at University of California, Merced is looking for an ambitious Postdoctoral Scholar to carry out a project that leverages compressed sensing to accelerate proteomics