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. Design explanation methods that connect predictions to meaningful spatial, temporal, frequency-domain, semantic, or example-based evidence. Evaluate robustness and transfer to unseen datasets, content
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design methods. Understanding of geospatial variability in geological or rock mass properties, including spatial correlation, anisotropy, and heterogeneity. Familiarity with machine learning/AI techniques
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with regard to both spatial and temporal evolution. • Investigate mechanisms controlling radionuclide retention and transport in cementitious and geological materials. • Assess the influence
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engineered and natural environments relevant for nuclear waste management with regard to both spatial and temporal evolution. • Investigate mechanisms controlling radionuclide retention and transport in
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various spatial and temporal scales to improve accuracy. It aims to combine small-scale atmospheric phenomena, such as turbulence, with larger-scale weather patterns and climate influences
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involves modelling wind flow across various spatial and temporal scales to improve accuracy. It aims to combine small-scale atmospheric phenomena, such as turbulence, with larger-scale weather patterns and