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FLAME-GPU accelerated agent-based modelling of material response to environmental and operational loading EPSRC CDT in Developing National Capability for Materials 4.0, with the Henry Royce
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, PyTorch, JAX etc. Experience with modern AI concepts such as large language models (LLMs), vision-language models (VLMs), model context protocol (MCPs), and the development of agentic AI tools. Skill in
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law, PAAR enables work with high-risk organisms classified under Biosafety Level 3 (BSL-3 and BSL-3 Ag)pathogens, including select agents, that could cause serious harm to agriculture and the economy if
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(https://ai-sandbox.list.lu/ ), an innovative environment dedicated to the trustworthiness evaluation of LLMs and AI Agents. The traineeship will focus on supporting the development, integration and
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Posting Details Posting Details Job Title Extension Agent for 4-H Youth Development - Campbell County Requisition Number RE52580 Working Title Department Name 81C08: KCES Region Central Area 08 Work
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Posting Details Posting Details Job Title Extension Agent At-Large for 4-H Youth Development – Rowan County Requisition Number RE52589 Working Title Department Name 81E07: KCES Region East Area 07
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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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PhD Studentship: LLM-Based Agentic AI: Foundations, Systems & Applications – PhD (University Funded)
Large language models (LLMs) can read and write text and code, call tools, and follow instructions. They now allow us to build agents that plan and act over many steps instead of giving a single
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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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LLM-based scientific agents. In the project, you will (i) identify potential sources of uncertainties in AI agents, (ii) investigate ways to assess the quality of uncertainty estimates by standard