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Field
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commercialization of AI products, with a strong focus on Large Language Models (LLMs) and Agentic AI systems. This role sits at the intersection of advanced AI research, real-world business impact, and product
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portfolio that spans decision-support for pandemic response, social network modelling, equitable AI for clinical applications, and developing culturally-congruent LLMs to advance behavioural modelling in
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virtual environments (e.g., Roblox, Minecraft). Implement a parallelized agent-driven framework where multiple LLM-powered agents operate concurrently to explore user-generated worlds and trigger diverse
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of the XR development environment (e.g., Unity, Unreal Engine, or WebXR) alongside the chosen AI/LLM integration frameworks. Task 2: AI Agent Implementation & XR Prototyping Programming the interaction logic
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, TensorFlow, PyTorch, and LLMs; Skilled in data visualization using Matplotlib, Seaborn, and ggplot2, and experienced in managing research projects with tools like Git/GitHub, ClickUp, and Jupyter Notebooks
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experience in libraries and frameworks such as Pandas, NumPy, scikit-learn, Gensim, BERTopic, TensorFlow, PyTorch, and LLMs; Skilled in data visualization using Matplotlib, Seaborn, and ggplot2, and
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, Gensim, BERTopic, TensorFlow, PyTorch, and LLMs; Advanced in data visualization using Matplotlib, Seaborn, and ggplot2, and experienced in managing research projects with tools like Git/GitHub, ClickUp
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, BERTopic, TensorFlow, PyTorch, and LLMs; Expert in data visualization using Matplotlib, Seaborn, and ggplot2, and experienced in managing research projects with tools like Git/GitHub, ClickUp, and Jupyter
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required, applications that will utilize AI LLMs, agentic workflows, and/or AI-driven laboratories to advance these domain science areas are highly encouraged. Additional priority areas for proposals and
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cutting-edge research in LLM security and privacy, trustworthy AI, and cybersecurity at NTU Singapore. The role will contribute to the design, implementation, and evaluation of secure and privacy-preserving