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or hard constraints, operational bounds (voltage limits, capacity, phase balance), and network topology through graph neural network architectures. You will build validated benchmark datasets and an
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(Kirchhoff's laws) as soft or hard constraints, operational bounds (voltage limits, capacity, phase balance), and network topology through graph neural network architectures. You will build validated benchmark
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(Kirchhoff's laws) as soft or hard constraints, operational bounds (voltage limits, capacity, phase balance), and network topology through graph neural network architectures. You will build validated benchmark
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potential forms of reparations for colonialism. In this way, the project aims to contribute to the decolonisation of reparative justice theory to address the legacies of colonialism committed by Western
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understanding of potential forms of reparations for colonialism. In this way, the project aims to contribute to the decolonisation of reparative justice theory to address the legacies of colonialism committed by