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learning, where agents share partial information to enhance resilience while preserving data/model privacy and communication efficiency. The project will also consider economic dispatch and energy trading
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PhD Studentship: LLM-Based Agentic AI: Foundations, Systems & Applications – PhD (University Funded)
Large language models (LLMs) can read and write text and code, call tools, and follow instructions. They now allow us to build agents that plan and act over many steps instead of giving a single
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? No Offer Description We have two exciting PhD positions at the intersection of formal software verification and Large Language Model (LLM) safety, focusing on extending state-of-the-art logic-based
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Primary supervisor - Prof Mark Searcey One of the key problems in the development of new anticancer agents is specificity. How do you get the compound to the site of action in the body and avoid
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efficiently model structured dynamics, such as non-Markovian stochastic processes, and adaptive agents that react to environmental stimuli. The successful candidate will explore this structure, to understand
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., Clauss, M., Doughty, C.E., 2021. Improved estimation of gut passage time considerably affects trait-based dispersal models. Functional Ecology 35, 860–869. *Baker, G. et al, submitted. Novel isotopic
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) and an agent-based reinforcement learning system can developed to identify and optimise safe journeys to reach affected forest plantations. The specific research objectives will be co-developed with
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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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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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in the Cloud–Edge Continuum Non-Invasive and Semantic-based IoT stream processing framework with Agentic AI for Next-Generation Trustworthy Wearable and Ambient Systems Trust and Generative AI in Agile