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the postdoctoral researcher will be a part: Carole Adam, Senior Lecturer at the UGA. The objective of the project for UGA is to design and implement an agent-based simulator to evaluate coordinated response
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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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for Risk Forecasting, Large Language Models (LLMs), and Human-in-the-Loop AI Systems. Our aim is to advance AI for Operations by integrating next-generation AI agents and LLMs with real-world operational
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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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applications for biomedical research. The candidate’s work will focus on developing AI methods, training AI models, and creating agentic AI workflows on DOE supercomputers and applying them to population-level
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for applications in virtual reality, gaming, digital assistants, and social robotics. We build on recent breakthroughs in spontaneous speech synthesis and gesture generation based on deep generative models to train
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) to train and direct support personnel. The candidates are expected to have experience in animal bone marrow transplant models, DNA repair pathway, flow cytometry, and lentiviral-based gene transfer. Prior
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spatio-temporal generative models, and multimodal foundation models—including vision-language MLLMs and agentic AI frameworks—for longitudinal MRI and clinical data. Fellows will help build next-generation
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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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) and flooding events in coastal communities in Ireland initially, this 2.5-year project will create a digital twin of Ireland, underpinned by a dynamic agent-based model of the Irish population