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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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Description Ageing infrastructures, urbanization, and climate change are intensifying the vulnerability of critical infrastructures (CI), high-tech industries (HTI), and communities to cascading hazards
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an understanding of the underlying magnetic processes through complex data analysis and computer simulations. You work in close collaboration with theoretical physicists to test models and develop new insights. Your
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be done via computer simulations, including Monte Carlo and molecular dynamics, combined with the use of statistical mechanics to predict e.g. phase transitions, nucleation rates, etc. The work will be
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calculation of wave propagation phenomena (e.g. acoustics, earthquake waves, structural dynamics) Development of numerical methods for structural mechanics (beams and shells) Interaction of CAD and simulation
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high-efficiency perovskite solar cells and layer stacks Developing highly stable and efficient triple-junction solar cells Characterizing devices, analyzing experimental losses, and simulating single
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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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: Master's degree in Information Technology or equivalent education Knowledge of systems theory, systems modelling and simulation methods Knowledge of digital twin concepts, architectures, and applications
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strategies to this end. Information This research project is part of the EmPowerED project, which aims to accelerate and scale up the development of Positive Energy Districts (PEDs). PEDs are urban areas
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and readout electronics (Part-time, 30 hours per week) Your Tasks Design, simulation, and characterization (incl. irradiation tests) of semiconductor detectors, in particular silicon carbide (SiC