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Field
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thesis in the field of continual reinforcement learning. Continual reinforcement learning studies how agents can learn across a sequence of changing tasks, environments, or objectives while retaining
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Fusarium graminearum, the causal agent of Fusarium Head Blight (FHB), and the English grain aphid (Sitobion avenae), one of the most economically important pests of cereal crops. FHB causes substantial
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intelligent built environments, and analysis of behavioral and physiological data. The work also includes the development of personas, the use of LLM‑enhanced decision narratives, and agent-based social
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. Susceptibility of selected complex/micelle systems to reducing agents. Cu(II) complexes must be reduced to Cu(I) for hCtr1 transport. This will be tested using GSH, cysteine and ascorbate. The interference by
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and resource security. The project may also examine emerging issues such as AI-enabled and agent-based sustainability analytics, critical mineral dependency, and the resilience of global supply chains
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this project you will develop new visible light activated crosslinking agents and catalysts for paint curing. These novel methods offer industrial benefits and are associated with interesting academic challenges
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that combines longitudinal real-world data, causal inference and agent-based knowledge integration to improve therapy sequences beyond the second line. In SEQUORA, we develop trustworthy AI assistance
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in building conversational agents or dialogue interfaces, including working with large language models, prompt engineering, and natural language generation for interactive applications. Ability to work
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agents, including cells, viral vectors, or nanoparticles Track record of successful extramural grant applications as a named investigator or contributor Familiarity with multimodal preclinical imaging
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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