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The Computer Vision Group is looking for an aspiring PhD to investigate multi-agentic AI, LLMs, and VLMs applied to agricultural sciences. Currently, established AI models often fail to generalize
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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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the tight coupling between body dynamics, sensing, and interactions among neighbouring agents and their environments. The research will exploit an interdisciplinary approach that combines control theory
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fungal infections. Emerging research is exploring radiometals conjugated with targeting molecules for in vivo imaging of infections via PET or SPECT. These agents can also be linked to therapeutics
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neuroprotective effects. Camptothecin – A clinically relevant anticancer agent targeting Topoisomerase I. In collaboration with Prozomix Ltd. (an industrial leader in enzyme development), this project will
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details can be found at https://www.net-zero-fibe-cdt.eng.cam.ac.uk/ The project is funded in collaboration with Network Rail, the entity responsible for the operation and maintenance of the Great Britain's
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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