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graphs using PC Creating data summary using PC Administrative work using the university's internal system Other jobs as described in separate documents. No experience in the above is required. We welcome
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Experienced in one or more ML/AI techniques, such as reinforcement learning, federated learning, natural language learning, graph neural network Experience working on cyber-physical power systems, ideally
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techniques more interpretable and biologically meaningful in their application to neural population coding. As a starting point, we will build upon recent advances in graph neural networks (GNNs), particularly
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to neural population coding. As a starting point, we will build upon recent advances in graph neural networks (GNNs), particularly those described by which offer a promising architecture for modelling