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starts from biological questions and challenges that are addressed using state-of-the-art and novel computational and AI strategies, through close interactions and iterations with biological experiments
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, you will leverage the power of graph neural networks – a novel ML architecture, capable of learning fundamental physical behaviour by modeling systems as graphs and encoding nonlinearities in these. As
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sets (dynamical system reconstruction), and apply linear control theory to investigate the energy demands of the resulting network architecture. This project will support our goal of testing
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staff and students. Within the faculty of Engineering and Architecture, the IDLab research group performs research on 1) connectivity and 2) data science & artificial intelligence. In these research areas
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University is a logical choice for its staff and students. Within the faculty of Engineering and Architecture, the IDLab research group performs research on 1) connectivity and 2) data science & artificial