91 polymer-simulation-research PhD positions at Technical University of Denmark in Denmark
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Rodrigues, Prof. Kira Vrist Rønn (SDU), and Associate Prof. Line Harder Clemmensen (KU). You will work on research focused on developing AI-enhanced Agent-based Simulation tools to support Intelligence
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. In the project you should: Design and implement enzyme libraries using generative AI tools such as RFdiffusion2 or BoltzDesign. Perform molecular dynamics simulations to assess enzyme-substrate
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22 Aug 2025 Job Information Organisation/Company Technical University of Denmark Department Department of Civil and Mechanical Engineering Research Field Engineering Researcher Profile First Stage
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materials, which are otherwise inaccessible to material scientists? At DTU Energy, our research is targeting exactly this, and to reach these goals, we are looking for a PhD candidate to work at the interface
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renewable energy sources into the power grid. Key research questions may include: How can machine learning be leveraged to improve the accuracy and speed of dynamic simulations in renewable power systems
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for Digital Building Technologies, Department of Civil and Mechanical Engineering, Technical University of Denmark (DTU). The research project will be carried out in collaboration with a team of DTU researchers
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Job Description DTU Electro seeks a highly motivated PhD candidate to join the Perception and Cognition for Autonomous Systems Group (PCAS) in an alliance/strategic partner research project funded
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Job Description Are you driven by the potential of AI in medicine? Are you excited by the translational impact of bioengineering research and its potential to bridge fundamental science with real
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market frameworks and business models for fair value distribution will be analysed. Responsibilities and qualifications Your primary research tasks will include: Develop and simulate coordinated control
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industrial processes. Your research will drive a paradigm shift in how TES systems are modelled, integrated, and controlled within industrial settings. You will develop novel, adaptive, physics-informed models