15 molecular-modeling-or-molecular-dynamic-simulation PhD positions at Linköping University
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disease. We are using high-throughput confocal microscopy and proximity labelling and sequencing approaches to characterize molecular regulation in inflammation. The project aims to characterize the role
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of the dynamics of organic matter and pollutants in AD plants. The project intends to promote circular bioeconomy principles, significant in advancing green technologies. You will study the molecular
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cancer. The goal will be to find genetic prediction models to be able to predict which childhood cancer patients have a high or low risk of toxicity in childhood cancer. Preliminary the doctoral project
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consist of the following: Mathematical analysis of ecological and eco-evolutionary models, involving pencil-and-paper calculations; Computer simulations of more complex models which do not easily lend
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of the dynamics of macro and micropollutants in AD plants mainly refers to change of bulk properties. The proposed research aims to advance this science to knowledge of transformation processes at the molecular
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level in electrical engineering, electromagnetic engineering, wireless engineering, engineering physics, applied physics, a closely related field. Good command of electromagnetic simulation tools such as
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embodied AI agents can dynamically adapt to group behaviors and learning needs The project will combine observational studies, interaction design, and experimental evaluations to develop embodied AI-driven
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multiagent dynamics, with special focus on human decisions and opinion dynamics. The research will deal with both theoretical and computational aspects. The student will develop dynamical models and apply them
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unintentionally bring about macro-level outcomes. The group at IAS focuses on the dynamic processes that lead to a concentration of individuals with certain socio-economic or ethnic characteristics in different
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of scientific data, e.g. from image acquisition modalities or scientific simulations. Efficient algorithms are at the core of most of these data analysis and visualization applications. The focus of this Ph.D