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for establishing a research group dedicated to quantitatively assessing system-level implementation and market potentials of innovative climate solutions. This includes modeling climate solutions spatial and socio
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develop (physics-informed) hierarchical graph neural network architectures that can capture the complexity of multi-scale urban energy infrastructures. The PhD will explore how these models can represent
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