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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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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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structures for efficient CO2-capture and storage. The postdoc will use atomistic modelling with both force field and ab initio methods to study various systems of surface adsorbed aromatic macrocycles or also
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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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communication systems. Work will emphasize the development and analysis of advanced methods in areas such as sparse signal recovery, compressed sensing, and statistical estimation, with a particular focus on