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Field
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PhD scholarship in Runtime Multimodal Multiplayer Virtual Learning Environment (VLE) - DTU Construct
construction settings focusing on multi-user interaction, pro-actively engaging safety benchmarks, and High Energy Control Assessment (HECA) simulation and tracking. It is notable that this PhD scholarship is
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following research areas: multi-modal input, continual learning, and adaptive methods for task planning and execution in real-world environments with autonomous agents. You will be a vital part of the Visual
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separately, yet a reliable, open-source tool integrating a shallow-water solver and a multiphase porous-media solver within the same framework is missing. Without this coupling, it is not possible to predict
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for inclusive design and co-creation for children with ASD and ARFID using AI-empowered agents and games. This includes examining how these technological solutions systems can be adapted to support child-led
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holistic multi-hazard risk framework capturing cascading effects across systems and scales; (2) the creation of digital environments utilizing real-time data for dynamic risk evaluation; (3) the advancement
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2 Oct 2025 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Engineering » Process engineering Engineering » Simulation engineering Researcher Profile
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events—natural hazards that trigger technological accidents—which can have devastating impacts on people, infrastructure, and the environment. Addressing these risks is one of the urgent challenges
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of responsible human-AI collaboration. The successful candidate will become a member of the Multi-Agent Systems Group, Artificial Intelligence Department and will work under the supervision of Dr. Jakob Schoeffer
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PhD scholarship in Runtime Multimodal Multiplayer Virtual Learning Environment (VLE) - DTU Construct
building and infrastructure construction settings focusing on multi-user interaction, pro-actively engaging safety benchmarks, and High Energy Control Assessment (HECA) simulation and tracking. It is notable
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to find ways to increase profits, and they might do this in ways we didn’t anticipate. This project is about investigating what kind of market equilibria emerge from these multi-agent market interactions