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engineering schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . We are looking for a Research Fellow in Multi-Agent Path Planning for Autonomous Drone Operations
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clinically characterized samples, and use the results to test and refine the lab’s theory of agency. The work will generate first-author papers and an agent-based research line the candidate can carry
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the integration of both ecological and social data using platforms such as Marxan or prioritizr Experience with agent-based ecological modelling approaches (e.g., using R, NetLogo, or similar) Working
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interested in: LLM -driven systems for aligning real-world health data to standards like OMOP CDM , FHIR , and UMLS Agent-based workflows that explain, refine, and adapt semantic mappings over time Hybrid
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interested in: LLM -driven systems for aligning real-world health data to standards like OMOP CDM , FHIR , and UMLS Agent-based workflows that explain, refine, and adapt semantic mappings over time Hybrid
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: 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 interdisciplinary collaborative research
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) • 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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modeling Experience with machine learning, hydrologic modeling, or energy systems modeling (e.g., ParFlow, WEPPCloud, agent-based models) Proficiency in scientific programming languages (e.g., Python
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possibility of an extension based on progress and performance. The main project is to work on cutting-edge research to understand the host-pathogen interactions and to define protective/pathologic host
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empirical findings into an agent-based model and cost-effectiveness analysis and to translate study findings into a decision-support toolkit for public health agencies and policymakers. The fellow is