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Differential Equations, and Graph Neural Networks. The objective is to measure and predict evolutionary forces and spatial cell interactions in healthy versus cancerous tissues, ultimately identifying
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computationally challenging. To address this, our research employs advanced computational methods to simplify high-fidelity 1-D hydrodynamic models based on Partial Differential Equations (PDEs). This approach
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with applications in Earth Sciences Experience in numerical solution of partial differential equations Experience with the geodynamic modelling software ASPECT is of advantage but not a strict
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