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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
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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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, implementation science, geospatial analysis, biostatistics and research design, AI analytics, agent-based modeling, Bayesian modeling, causal inference, and measure development. We are seeking exceptional mid
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Communications . We are looking for a candidate with expertise in computational social science, such as (but not limited to) evolutionary game theory, agent based modelling and computational behavioural economics
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We are seeking a motivated and creative PhD student to explore safe and trustworthy planning under uncertainty in multi-agent systems. They will collaborate on interdisciplinary research which draws
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behaviours of multi-agent systems in response to changing internal states and external environmental conditions. Both traditional model-based approaches and modern learning-based control techniques will be
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economic models based on technological building blocks in key economic sectors or on macro-economic data to estimate present and future environmental costs. Economic value of AI and its environmental
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operationalizing next-generation LLM solutions that enable ING to streamline core processes, strengthen compliance, and scale agent-based AI systems. The position potentially targets at one of the following three
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30 Dec 2025 Job Information Organisation/Company Universidade de Coimbra Research Field Other Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Portugal Application