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CDT in Developing National Capability for Materials 4.0, with the Henry Royce Institute. ‘Agent-based’ modelling (ABM) simulates large numbers of autonomous yet interacting entities and in Sheffield has
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examines the impact of IAM services on travel behavior using agent-based transport simulation. The doctoral researcher will initially work collaboratively with first-cohort researchers on IAM-related
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Evolution. Please check our publications for more details: http://garciajulian.com [1] “Empirical Agent Based Models of Cooperation in Public Goods Games | Proceedings of the Fourteenth ACM Conference
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integrate custom AI copilots and conversational agents. Develop, fine-tune, and evaluate LLM-based chatbots and domain-specific AI assistants. Document AI system designs, experiments, code, and processes
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. Experience developing and fine-tuning Large Language Models (LLMs) and transformer-based architectures. Practicalexperience building AI agents, including agentic workflows, autonomous decision-making pipelines
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operators for these notions. Over the past fifty years, such non-classical logics have proved vital in computer science and logic-based artificial intelligence: after all, any intelligent agent must be able
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methods used in fields such as computational social science. Furthermore, applicants should have research achievements in one or more of the following areas: agent-based simulation, multi-agent systems
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simulations, design and conduct experiments, and analyze multimodal data streams in a continuous, real-time loop with minimal human intervention (https://www.nature.com/articles/s41524-024-01423-2 , https
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(Lua/Java), agent behavior modeling, event handling, and API-based integration with external AI systems. Experience with distributed systems, reinforcement learning, or simulation environments (e.g
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– Refª C628696807-00454142 funded by Recovery and Resilience Plan (RRP) https://recuperarportugal.gov.pt/ and Next Generation EU European Funds Application submission from 13 to 26 February 2026 WHO WE