15 postdoctoral-soil-structure-interaction-fem-dynamics PhD positions at Linköping University in Sweden
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conducting polymer nanooptics, structural coloration and cellulose-based optics. Examples of application-areas include radiative cooling, dynamically tuneable metasurfaces, and reflective displays in color. In
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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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project will be conducted at the Physics, Electronics, and Mathematics (FEM ) division within the Department of Science and Technology (ITN ) at Linköping University, Norrköping campus. It is a
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security analysis by providing the means and the tools to leverage model structures (e.g., dynamic key dependencies) in models of security mechanisms and to use these structures to automate security analysis
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Mathematics (FEM ) division within the Department of Science and Technology (ITN ) at Linköping University, Norrköping campus. It is a collaborative effort with Lund University. The research will be supervised
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with fluid dynamics. Thin layers, or films, of various materials are of high technological importance in many aspects of our everyday lives. Thin films prevent food from spoiling, make cutting tools last
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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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of thin film depositions, with a special focus on models for chemical reactions in combination with fluid dynamics. Thin layers, or films, of various materials are of high technological importance in many
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In this WASP financed project, the research will focus on the study of multiagent automatic control methods for closed loop (CL) control of dynamical systems that adhere to safety constraints while
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of cardiovascular diseases. You will work independently to develop mechanistic models that describe dynamic processes of the microcirculation and analyze large data sets using statistics and deep learning