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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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deprotection in normal and malignant cells, at both the cellular and molecular levels. At the cellular level, you will investigate the fate of cells experiencing telomere dysfunction. At the molecular level
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focus on how molecular-level chemical design can be translated into new material functions. The research will explore how chemical modification, polymer design, and interfacial chemistry can transform
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of this PhD project is to develop new materials concepts based on wood and wood-derived polymers and building blocks. The work will focus on how molecular-level chemical design can be translated into new
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, data-driven control in high dimensions has penetrated many new application areas. Examples include control of autonomous vehicles based on video data, simulation-based prediction of turbulent flows and
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application! Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular
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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
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. Computational tools for simulating such processes - both traditional based e.g. on computational fluid dynamics and more recent based on AI/machine learning - constitute fundamental scientific domains that act as
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background in virus-cell interactions, molecular virology/cell-biology We want you to have: An experimental background, including in vitro cell experiments using organoids Meritorious for the position
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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