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Field
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expertise in agent-based modelling. The models we build will have an interface with community stakeholders and mobility service providers, so we are particularly seeking applicants who are comfortable in
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papers based on research findings. Developing research proposals related to multi-agent systems and their applications. Job Requirements: PhD degree in Computer Science, Artificial Intelligence, or related
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-grade codebases, including data pipelines and analysis workflows. Developing and deploying AI agents and large language model–based tools for tasks such as document processing, information extraction
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content moderation framework for immersive 3D virtual environments, such as Roblox and Minecraft. The research staff will play a key role in building and integrating of AI agents into gaming scenarios (e.g
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molecular imaging contrast agent for inflammatory bowel disease Design, synthesize, and characterize nucleic acid–based targeting agents Perform in vitro binding assays, functional validation studies, and
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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 architectures that combine
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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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-chain operations. Key Responsibilities: Design and implement Hyperledger Fabric and Avalon-based smart contracts with agentic AI integration. Develop dual-hash validation mechanisms to ensure ledger and
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a key role in building and integrating of AI agents into gaming scenarios (e.g., gameplay, interactions, procedural content generation, dynamic narratives), and integrating a multimodal detection
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, pharmacoepidemiology methods development). Through this fellowship, you will have opportunities to learn: Understanding of pharmacovigilance workflows; GenAI based algorithm and agent development for causality