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initiative on Agentic AI for Scientific Discovery. This project aims to solve a grand challenge in modern AI: developing a deep research assistant capable of accelerating R&D workflows and operations in
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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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therapeutic agents using bioconjugation and peptide chemistry techniques. Key Responsibilities Develop peptide cyclization methods Develop bioconjugation techniques using plant-derived AEPs and other enzymes
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Details Title Postdoctoral Fellow in Agentic AI for Science School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Bioengineering Position Description Professor
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content moderation 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
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on LLM agent safety and secure authentication. The role involves developing runtime monitoring and behavioural evaluation techniques for LLM agents, and investigating secure and usable authentication
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are pervasive and persistent throughout life, yet only rarely progress to disease. MUTAHOME aims to uncover how these mutations impact cell fitness, influence tissue homeostasis, and shape cancer risk. About You
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agentic AI/LLMs and confirming your availability for a two-year minimum commitment. A detailed Curriculum Vitae (CV) including links to public code repositories or portfolio projects (e.g., GitHub
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portfolio and the wider Responsible AI landscape into clear, evidence-based policy advice for government, industry and the public. The research will focus on: Agentic AI systems and their governance Physical
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portfolio and the wider Responsible AI landscape into clear, evidence-based policy advice for government, industry and the public. The research will focus on: Agentic AI systems and their governance Physical