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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 6 hours ago
mission development as well as societal applications. The overarching goal of this project is to enhance ISSM’s capability, scalability, and accessibility by developing a multi-modular, agentic AI framework
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well as deploying LLMs in multi-agent settings. Excellent communication and presentation skills are essential, with the ability to convey complex technical work clearly to academic and external audiences. The post is
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Philanthropy and is fixed-term until 31 Dec 2027. A further extension to this would be based on funding availability. You will conduct hands-on empirical research in multi-agent security and agentic AI security
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systems Reinforcement Learning and Agentic Control: Hands-on experience with reinforcement learning, multi-agent systems, or planning-based agents for autonomous vehicles or robots operating in dynamic
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Philanthropy and is fixed-term until 31 Dec 2027. A further extension to this would be based on funding availability. You will conduct hands-on empirical research in multi-agent security and agentic AI security
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, enabling recommendations that evolve with an individual’s goals, constraints, and market conditions over time. 2. LLM-Agent Simulation for Organizational Modeling Design multi-agent simulation environments
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Postdoctoral Positions for Computational Genomics, Cancer Genetics, and Translational Cancer Biology
challenges in cancer genomics and precision medicine. Specific areas include: 1) Building the Genomics to Knowledge (G2K) agentic AI framework for automated transformation of multi-omics data into biological
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synthesis of novel antibacterial agents. The successful candidate will join an interdisciplinary team working to combat multi-resistant infections through innovative chemical strategies. The postdoctoral
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architectural design, including but not limited to ReACT/CodeAct agents, multi-agent systems, self-evolving agents, scalable agentic memory management and Extensive knowledge of existing bioinformatic algorithms
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. demonstrated research capability in one or more of the following areas: quantitative modelling of dynamic or adaptive systems reinforcement learning, multi-agent systems, network or graph-based models simulation