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saw the hyperthermal events of the Eocene, the development of Antarctica, and the emergence of glacial–interglacial cycles. The objective is to characterise the dynamics of this period using non-linear
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containing weak bonds embedded in macrocycles acting as hidden length. Linear polymers and polymer networks are targeted. The rheological and mechanical properties of the obtained materials will be
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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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. Applications will be accepted until the position is filled. Job profile The successful candidate will apply linear control theory to existing artificial neural network models of working memory, task switching