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materials and constructions. Use Material Flow Analysis (MFA) to explore optimal treatment pathways based on material composition. Collaborating with fellow doctoral researchers across the SCARPA network
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technology, positioning your career for long-term success and global scientific impact. Your primary role will be to pioneer and optimize advanced electron-beam lithography techniques to demonstrate reliable
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optimization, and stochastic modelling as you work on your project. You will be seconded with the Chalmers University of Technology (Sweden) and Mærsk McKinney Møller Center for Zero Carbon Shipping (Denmark
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. courses as well as take part in teaching and supervision of students. Furthermore, there will be the opportunity to carry out a longer external research stay. We have close collaborations with numerous
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performance utilizing reliable and computationally efficient numerical structural models. To support the condition (state) assessment, you will also explore the use of advanced estimators (e.g., Kalman Filter
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PhD scholarship in Runtime Multimodal Multiplayer Virtual Learning Environment (VLE) - DTU Construct
for realistic haptic control and feedback, and real-time agent-based simulation for guiding optimal work performance. Following smart serious gaming approaches, novel artificial intelligence forecasts human