3 mathematics-graph-theory Postdoctoral positions at Radboud University in Netherland
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techniques including graph neural networks, Bayesian neural networks, conformal prediction intervals and generative AI for synthetic data generation. You will also develop frameworks for uncertainty
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for load forecasting in scenarios where current models fall short, such as extreme weather events, grid incidents and high variability in renewable energy. You will explore techniques including graph neural
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, Dr Aafke Schipper, and one PhD candidate, and also collaborate with the PhD candidates and postdoctoral researchers of WP1 and WP2. Your work will be theory- and data-driven, contributing to both
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