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Field
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. The integration of Knowledge Graphs (KGs) with AI agents will link the data and the actions taken by AI agents. Reinforcement Learning from Human Feedback (RLHF) will enable AI to learn and adapt based on real-time
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integrating behaviour change interventions into our daily lives. For example, by targeting habits, which have been shown to be greater predictors of change compared to knowledge-based interventions. This PhD
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, integrated assessment or agent-based models) and/or research on sustainability transitions and transformations will be highly regarded. Strong communication skills and the ability to work independently and as
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into ionic conduction, gas permeation, and degradation in PVA-based membrane electrolytes. Investigate the impact of chemical and mechanical agents on the ionic conduction, gas permeation, and degradation
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coding systems and ontologies, ensuring compliance with FAIR principles. - AI model innovation: select, adapt, and refine large language models (local, cluster, or cloud-based) and frameworks (Ollama
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developed the highly expansive SCC based on a combination of calcium sulfo-aluminate expansive agent, super absorbent polymers, shrinkage reducing agent, and short PP fibers, and have proven that a self
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of mycotoxin prevalence in Indiana, identification of causal agents responsible for mycotoxin production and conducting research to develop environmentally sound, economically feasible, and sustainable mycotoxin
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related field, and will have experience with one or more of the following: agent-based simulations, system dynamics, mathematical modelling, probability theory, risk assessment, R, python and GIS. Good
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Learning from Human Feedback (RLHF) will enable AI to learn and adapt based on real-time user interactions. The dynamic creation and configuration of AI agents will allow users to customise and deploy agents
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such as Prolific. Some knowledge of computational modelling and predictive analytics, such as cross-validation or evolutionary agent-based models. Residency requirements: This studentship is primarily aimed