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experiments. The objective is to develop Bayesian causal models and neural networks capable of identifying relevant causal relationships between instrumental parameters and observed anomalies. The work will
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. - Development of an ICP-MS/MS measurement method (choice of reaction/collision gas, optimization of measurement parameters, correction of mass bias, etc.) to eliminate interferents and achieve the best possible
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composition, and their effects on material and ferroelectric parameters, including recrystallization temperature and remanent polarization. The work will be done by employing a range of static and operando
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