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outputs from across the RAi UK 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
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research focus may include the following areas: Fine-tuning of large language models on rewards derived from social interactions or collective outcomes Evolutionary adaptations of AI agents in social
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. This project contributes to Infectious Disease Pathology Brach (IDPB)’s molecular pathology program by applying molecular and sequencing-based methods to detect a broad range of pathogens in fixed tissues. Under
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in edge intelligence, multi-agent AI, and interdisciplinary collaborative research, and looking for a PhD position, this opportunity can be for you. The Energy Informatics EI@ND Networks and
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. Advanced machine learning, reinforcement learning, and agent-based optimization techniques will be developed to reduce voltage deviations, cut active power curtailment, and improve system adaptability under
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Description about scope of the PhD research: Do you have a background in energy informatics, computer science, or energy systems, and are you are interested in edge intelligence, multi-agent AI, and
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to) • AI4SCI, with an emphasis on atomic systems such as molecules, proteins, and materials • Modern energy/entropy based learning • LLM/Agent for science • Related safety issues in AI4SCI Dr. Bian
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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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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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-cell depleting agents. The aim of the project is to develop tools that allow monitoring of disease-relevant B-cell populations through B-cell depletion therapy and to assess correlations between presence