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Wetsus - European centre of excellence for sustainable water technology | Netherlands | 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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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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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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personalize interactions based on spatial and behavioral cues. Thus, the project requires technical skills in the development and programming of embodied AI agents. You will collaborate closely with
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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
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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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scenarios with only 200-300 primary users. Working Environment at CADIA You will join the Center for Analysis and Design of Intelligent Agents (CADIA) at Reykjavik University, one of Iceland's leading AI
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for letting a multi-agent system - composed by aerial robots and a human operator - to fulfill tasks that require physical interventions (such as installing an antenna at high altitudes) by the robots
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Cybernetics at NTNU is offering a fully funded PhD position in the area of learning-based control and decision-making for complex multi-agent systems. The project explores new computational frameworks