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The Extension Agent for Family and Consumer Sciences will develop, implement, and evaluate a plan of work based on locally identified needs which will lead to improved quality of living for families & individuals
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the context of the automation of scientific workflows. In particular, it examines how ethnographic perspectives can contribute to the development of AI-based models for agentic science, to their productive
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research direction is the integration of strategic transport models, such as discrete choice modelling (DCM) with agent-based modelling (ABM), to examine potential transport behaviour under different
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-aware reference monitor on top of seL4, supporting dynamic control of the capabilities and information flows of AI agents. Develop and mechanise security models, program logics and information-flow
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professionals: County Extension Agent for Agriculture & Natural Resources interns will be primarily engaged in delivering educational programming and will assist the agent in conducting on-farm research
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as part of a team translating psychological constructs into mathematical/dynamical rules driving comprehensive agent-based models incorporating disease transmission, behaviour and feedback loops
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their orchestration, provenance, and evaluation. Experience integrating AI/ML models and services with HPC and workflow systems, such as inference serving on leadership systems, coupling of AI agents with simulation
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an Agentic AI system based on Large Language Models (LLM) and Vision Language Models (VLM) for providing personalized training programs in the field of Occupational Health and Safety (OHS) within industrial
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Forecasting, Data Modeling, and Multi-Agent Systems to join us in the School of Engineering at Newcastle University. You will join a collaborative research community based in Newcastle and work with Dr Ekin Can
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. Experience of current Artificial Intelligence and Machine Learning methodologies/tools e.g. agentic patterns, LLM orchestration, vision models etc. Desirable Criteria: MEng, MSc or Ph.D. in a relevant area