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will focus on constructing and training advanced machine learning models tailored to characterize induced earthquakes recorded by various instruments, including distributed acoustic sensing, acoustic
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of the spin systems but also experimental imperfections of the spectrometers have to be included in the modelling of the experiment. Such an approach will require: Extending and improving an existing framework
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