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of multi-agent systems Control and containment: Developing steering techniques and safety measures to guide model behavior, including red-teaming and methods for intervention, guardrails, and safety
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Job Description We are seeking a visionary researcher to lead the development of transformative global water and infrastructure datasets that underpin AI and process-based hydrologic models. You
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recently developed mathematical theory, linking stochastic, network, and agent-based modelling, describing how this emergent behaviour supports essential maintenance and sharing of contents through
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reinforcement learning, agent-based modelling and simulation, autonomous decision-making, communication protocols, and applications in robotics, smart grids, and social networks. We consider computer science
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, as well as understanding how these processes shape the labour market. The research outcome will focus on developing an Agent–Human Sandbox platform, based on standardized scenario simulations and
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position within a Research Infrastructure? No Offer Description Want to explore how citizen collectives can drive societal change? Join us as a PhD in using AI-powered agent-based modeling to design adaptive
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? No Offer Description We have two exciting PhD positions at the intersection of formal software verification and Large Language Model (LLM) safety, focusing on extending state-of-the-art logic-based
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Your Job: In the CrowdING project, you will develop agent-based movement models that realistically simulate different behaviors such as lining up, overtaking, or pushing. Based on this, you will
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university. We are willing to support applications related to our research on complex systems, network and data science, agent-based models, statistical physics, or computational and mathematical modelling
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of the following areas: distributed artificial intelligence, coordination and negotiation, game theory and mechanism design, multi-agent learning and reinforcement learning, agent-based modelling and simulation