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large language models (LLMs) - spanning open-source models, LLM architecture, prompt design, and agentic AI frameworks - to help evaluate and advance responsible AI integration across the Agency. Project
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conventional swine of all production stages and will primarily involve porcine reproductive and respiratory syndrome virus (PRRSV) or porcine epidemic diarrhea virus (PEDV) as the infectious agents being studied
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The Respiratory Viruses Unit is seeking a highly motivated bioinformatician to study the genetic features, diversity, and evolution of respiratory viruses and other viral agents from a bioinformatics perspective
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agents to advance basic and applied research goals, such as understanding host-pathogen interactions or efficacy of viral control strategies. You will be involved in all phases of research, with
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In this role you will support the delivery of two exciting, EPSRC-funded research programmes at the University of Nottingham, working across AI, human-computer interaction, and creative technology
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interact with proprietary scientific software. Crucially, this project places equal emphasis on methodology (building capable agents) and evaluation (defining how we measure agentic success). You will join a
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, attract global talent, catalyse external funding, and build long-run research leadership in areas where AI, markets, and institutions increasingly interact. For more details, please view https
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, living biological control agents have been deployed against agricultural pests for decades, creating landscapes in which pest populations have experienced contrasting histories of sustained selection. By
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? As an Oak Ridge Institute for Science and Education (ORISE) participant, you will join a community of scientists and researchers studying adversarial interactions, multi-agent systems, and decision
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focuses on transcriptomic approaches to study RNP assembly and its defects in disease. The Research Fellow will work on transcriptomic studies of protein-RNA interactions, including the development of new