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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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of the PhD project leveraging limited sensing information from key locations on the offshore infrastructure. In this regard, your research will focus on the assessment of the nonlinear structural
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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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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
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student will become part of a team at DTU with expertise in digital signal processing methods, and machine learning methods for amplitude and phase noise characterization of optical frequency combs
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and health impacts of footwear materials. This research sits at the cutting edge of microplastic pollution, chemical safety, and sustainable materials design. This PhD opportunity is part of the Marie
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-fabrication. We work in tight collaboration with a team of quantum nanophotonics theorists and a team of nanofabrication experts. We have established an effective in-house collaboration that covers all aspects