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. demonstrated research capability in one or more of the following areas: quantitative modelling of dynamic or adaptive systems reinforcement learning, multi-agent systems, network or graph-based models simulation
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Aston University is a leading applied university with a strong international outlook, recognised for its focus on employability, business engagement, and global partnerships. International student
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description of the project] * Background of the recruitment and description of the project Our laboratory is advancing research and development on “Common Ground,” an interactive, multi-user dynamic general
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Intelligence/Computing Natural Language Processing AI for Science and Innovative Applications of AI Autonomous Agent and Multi-Agent Learning Complex Systems Modeling, Control, and Decision Making Computational
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skills within universities, colleges and research organisations. Further information is available at: https://iuk-ktp.org.uk/ . THE PROJECT The University of Essex, in partnership with Active Software
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details can be found at https://www.net-zero-fibe-cdt.eng.cam.ac.uk/ The project is funded in collaboration with Network Rail, the entity responsible for the operation and maintenance of the Great Britain's
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, and agent-based modeling for care delivery Health equity, patient access, and system resilience Multi-modal data integration using EHR, claims, environmental, and behavioral datasets The successful
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of education and experience. Strong Python skills and hands-on experience with LLM APIs (OpenAI, Anthropic, Google) and agent frameworks Experience building agentic systems with tool use, multi-step reasoning
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, funded by the European Commission. You can find more information on this project at NEWTON, https://newton-6g.eu/ . The Doctoral Network is led by IQUADRAT, the ATHINA-EREVNITIKO KENTRO KAINOTOMIAS STIS
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field. Hands-on experience in designing and implementing software systems involving multi-agent frameworks. Familiarity with immersive platform development (e.g., Roblox, Minecraft), including scripting