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. Your tasks: Development and comparison of data driven models for the prediction of stresses in arterial walls and plaque Enhancing the models with physics, i.e., using different physics-aware machine
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. Your tasks in detail: Become familiar with our previously developed neural network superstructure for learning iterative algorithms Extend the superstructure to tackle AC-PF problems of different
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these new methods at different sites and time periods, compare them with established approaches, and finally demonstrate their potential in a Europe-wide ecosystem reanalysis. The outcomes will include open
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