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. This exciting project is funded by a Industry PhD Program. Flinders University and Bookbot.com, are partners in the program. The student will be based at Flinders University for 4 days a week. The candidate will
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for realistic haptic control and feedback, real-time agent-based simulation for guiding optimal work task performance. Following smart serious gaming approaches, novel artificial intelligence forecasts human
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the MATSim agent-based transport simulation framework. The main task is to enable simulated agents to choose transportation modes, such as car, bus, bike, or walking, based on real-time feedback from
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Wetsus - European centre of excellence for sustainable water technology | Netherlands | about 2 months ago
(e.g., regeneration agents, acids, antiscalants), leading to high costs and environmental concerns. Our challenge is to develop a desalination scheme that produces high-quality water and multiple
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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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in AI: Generative Diffusion & 3D/4D Scene Synthesis: Re-design diffusion and NeRF-style models so multiple agents jointly reconstruct a scene. Semantic-Aware Compression & Network Information Theory
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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
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AI agents themselves. The candidate will explore behavioural analysis techniques. Another research questions is related to the definition and application of a unified policy through both legacy IT
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(of which only around 350,000 were available for rent or sale), coexisting with the most severe housing access crisis in decades. The project “Empty Houses, Lives on Hold” is based on the premise
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affordance and lower infrastructure use develop an agent-based model that regards infrastructure as a socio-technical system reveal under which patterns of user behaviour, infrastructure performance and demand