92 postdoctoral-position-in-molecular-dynamic-simulation PhD positions at Technical University of Denmark
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for dynamic simulations of renewable power systems, addressing critical challenges in stability and dynamics. Specifically, the aim of this position is to develop comprehensive guidelines for verifying and
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materials built by covalent linking of monomers, supramolecular polymers are dynamic and formed by the self-assembly of monomeric units brought together by non-covalent interactions. The connections between
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PhD scholarship in Runtime Multimodal Multiplayer Virtual Learning Environment (VLE) - DTU Construct
feedback, and real-time agent-based simulation for guiding optimal work performance. Following smart serious gaming approaches, novel artificial intelligence forecasts human behavior and provides active
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technologies that are redefining how we build with sustainable materials. We invite applications for a PhD position in Circular and Automated Earth Processing for Sustainable Construction at the Section
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with researchers at DTU and KTH, you will help develop an integrated decision-support system that: Uses real-time sensor data and AI models to assess risk scenarios. Dynamically recommends optimal
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of digital environments utilizing real-time data for dynamic risk evaluation; (3) the advancement of risk-to-resilience methodologies; and (4) the establishment of digital twin-based resilience frameworks
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. The position is an Alliance PhD partially funded by DTU and partially funded by Villum Fonden under the Villum Young Investigator program. The PhD project will investigate the molecular basis of enzyme-substrate
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relation to having the optimal phase development during hardening, as the volume distribution of the phases and the molecular structure are not entirely optimal. Since we want to contribute to a circular
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Job Description Are you eager to engineer the next generation of cancer therapies? Apply for a fully funded 3-year PhD position at the Technical University of Denmark (DTU), where you will work in
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possible in the field of energy storage. We invite applications for a fully funded PhD position in Thermal Energy Storage (TES), Industrial Energy Systems, and Artificial Intelligence at the Thermal Energy