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of Communication and Information (WKWSCI) to integrate geospatial modelling, behavioural risk-perception research, agent-based simulation, and community engagement design in support of Singapore’s coastal adaptation
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and refactoring the seL4 Isabelle/HOL proof base. The Surrey positions are full-time fixed-term until November 2027. We have substantial funding for access to state-of-the-art AI models and computing
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molecular drivers. Develop AI agents and LLM-based computational workflows for biomedical research, including automated dataset discovery, quality assessment, multi-omics analysis, biological interpretation
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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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learning-based model predictive control (MPC) algorithms for multi-agent multirotor drone navigation around vessels in maritime environments. The role will focus on integrating multirotor crash predictions
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analytics, or network analysis. • Experience in agent-based modeling or simulation is highly desirable. • Demonstrated ability to publish in internationally recognized peer-reviewed journals
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agents into gaming scenarios (e.g., gameplay, interactions, procedural content generation, dynamic narratives) Leverage fine-tuned Vision-Language Models (VLMs) for game scenario detection, supporting zero
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timely research question: How can Large Language Models (LLMs) and intelligent agents support transparent, scalable, and auditable clinical data harmonization? We are particularly interested in: LLM-driven
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(Lua/Java), agent behavior modeling, event handling, and API-based integration with external AI systems. Experience with distributed systems, reinforcement learning, or simulation environments (e.g
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framework for immersive 3D virtual environments, such as Roblox and Minecraft. The research staff will play a key role in building and integrating of AI agents into gaming scenarios (e.g., gameplay