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participant outcomes. The project will use a variety of approaches, including human perceptual experiments, machine learning, digital signal processing, and computational models of hearing. UConn has a vibrant
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amplifier and digitizer architectures, performing state-of-the-art front-end simulations, and producing optimized readout PCBs for testing in the 2 μm optics setup at UGent. The integrated readout system must
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well as climate protection) (e.g., fusion technologies, decarbonization of the economy and expansion of renewable energy, energy storage, and cross-border infrastructure) Artificial intelligence and digitalization
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Substantial published experience with PET imaging analysis. Experience with EEG data analysis or digital signal processing. Working knowledge of scientific computing languages, including Matlab, Python