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Field
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the Collaborative Research Centre for Low Carbon Living. The project uses agent based modelling (ABM) to represent consumer behaviour, social networks and their responses to non-financial incentives and barriers in
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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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cues play a role analogous to conditioned stimuli: they are signals that, once learned, allow the agent to anticipate the consequences of its actions. Scientific Motivation: Learning-based navigation
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, especially large language models (LLMs), enable the development of interactive AI agents that can support human learning in complex, safety-critical environments. Human-centered AI in this project means
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mechanistic insight, the student will use AI-based methods to investigate CPA–water interactions and ice inhibition. At larger scales, agent-based modelling using the BioDynaMo platform will be employed
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area of AI security, on the topic of “Memory Poisoning in LLM Agents: Foundations, Attacks, and Defenses”. Your work assignments Large language model (LLM) agents represent the next generation of
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. Photoacoustic sensing (introductory video: https://youtu.be/2f3V0DQNLYg ) is based on a transformation of absorbed optical energy into ultrasound waves, when a transient optical excitation is used. The optical