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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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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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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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the IDS with in-network access control and policy enforcement. The role also involves collaboration with AI researchers integrating the in-network IDS with endpoint AI detection and agentic response models
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? As an Oak Ridge Institute for Science and Education (ORISE) participant, you will join a community of scientists and researchers studying adversarial interactions, multi-agent systems, and decision
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farmer livelihoods. We seek candidates with expertise in landscape ecology, agroecology, ecosystem services, conservation/restoration decision-making, agent-based modelling, or related fields. The PDF will
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AI Automated materials science workflows, including tools such as atomate2 Agentic workflows for scientific campaigns, including harnesses for reasoning models As a member of the Terascale project
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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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. 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