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dynamic Electrochemical Impedance Spectroscopy (EIS), combining advanced measurement technology with modelling and data-driven analysis. A key component is a novel measurement approach that enables high
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dynamics. Particular emphasis is placed on opinion dynamics as well as distributed problems in coordination, optimization, and learning. The research encompasses both theoretical and computational aspects
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areas, but application to dynamic systems is hampered when the number of time samples is small compared to state dimensions, while latency and stability remain central concerns. As a result, learning
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renewable polymers? How can dynamic or reversible chemistry enable circular materials based on wood and wood components? During the project you will work with: Polymer synthesis and modification of wood and
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substrates be translated into new polymer and materials concepts? How can macromolecular design enable functional materials from renewable polymers? How can dynamic or reversible chemistry enable circular
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enablers for predicting and reasoning about dynamics and transport patterns, in turn being of key importance for a broad range of human activities. The research in the PhD project will focus on core spatio
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such as healthcare, finance, cy- bersecurity, and autonomous vehicles, where they interact dynamically with external knowledge sources, retain memory across sessions, and autonomously generate responses and
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, your work will explore key aspects of telomere dysfunction, including DNA end processing, chromatin dynamics, and repair outcomes. The research will be experimental character, including cell culture
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numerical analysis, computational fluid dynamics, and uncertainty quantification with diverse applications. Our group maintains active collaborations with other divisions at Linköping University and broader