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Field
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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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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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multi-agent frameworks. Familiarity with immersive platform development (e.g., Roblox, Minecraft), including scripting (Lua/Java), agent behavior modeling, event handling, and API-based integration with
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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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analysis leveraging our European presence and providing strategic feedback to Toshiba’s R&D and business operations based on these insights Business concept validation activities in collaboration with
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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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as well as emerging agentic AI will also be an advantage. Professional Development The initial contract will be for one year, with the possibility of renewal for up to three years based on performance
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metastatic sites, macrophages are key effectors mediating tumor immunosurveillance. Macrophage-based cancer immunotherapy is considered one of the most promising fields in cancer immunology and the next
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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
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(potentially based on AI agents) capable of coordinating both tools, deciding when to trigger drone inspections, and synthesising maintenance recommendations with precise spatial localisation. BINDING