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Field
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candidates may include: 1.Energy modelers with expertise in integrated assessment modeling, energy system modeling, or agent-based modeling, who are eager to incorporate socio-political dynamics
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candidates may include: 1.Energy modelers with expertise in integrated assessment modeling, energy system modeling, or agent-based modeling, who are eager to incorporate socio-political dynamics
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databases and retrieval-augmented generation (RAG) and integrate agentic AI systems to meet the demands of large-scale fine-tuning and inference. The postdoc will also work on design and implement agentic-AI
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assessment of lymphatic flow, 2) Advancing methods for contrast-enhanced MRL, 3) Creating ideal contrast agents for MRL, and 4) generating phantom and animal models for MRL optimization and validation
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Postdoctoral Research Associate on Architectures for LLM-based agents Full time, Fixed-term contract for 30 months, tenable immediately to end before 31 May 2028 Grade 07RS: £38,674-£46,913 per
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learning Foundation models, including large language models Agentic AI Multi-agent AI systems Transfer learning Self-supervised learning Federated learning The Postdoctoral Researcher will be primarily based
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of knowledge. The analysed results will be used to build the agent-based simulator currently being developed by a PhD student. You will also be involved in meetings with stakeholders (elected officials, Grenoble
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-agent systems, mathematical modelling, formal verification methods, stability metrics, agentic AI and data analytics are an advantage. Experience with large datasets, real-time systems, and integration
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of computing and healthcare. Methodologies of interest include: Multi-modal learning Foundation models, including large language models Agentic AI Multi-agent AI systems Transfer learning Self-supervised
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to the 4th February 2026. You will be investigating the safety and security implications of large language model (LLM) agents, particularly those capable of interacting with operating systems and external APIs