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curation. AI Safety: Ensuring robust alignment and safety in multi-agent LLM systems Efficiency: Streamlining large-scale model experimentation and training. Science of Deep Learning: Exploring mechanistic
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methods, network flow modelling and multi-agent or decision-simulation approaches, the student will assess trade-offs between local objectives and national-level resilience outcomes. A further strand will
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Title: AI-powered red agents for enhanced cybersecurity PhD Studentship: CyberQuarter. A PhD studentship that comprises tax-free stipend of £20,870 (increasing in line with UKRI per annum), tuition fees
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