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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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. We are looking for a Research Fellow to advance cutting-edge research in multi-agent systems for large language models (LLMs). The role will focus on conducting innovative research in multi-agent
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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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; - Design, development, and integration of Agentic RAG architectures based on an orchestrator and a set of intelligent agents for information retrieval and processing; - Validation of the proposed solutions
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animal models of inflammatory bowel disease in order to develop and validate an ultrasound contrast agent that can detect active inflammation. Accountabilities: Develop and validate a targeted ultrasound
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. • Experience with data analysis using statistical inference techniques. • Experience with health economic evaluations. • Experience with parallel and/or high-performance computing. • Familiarity with agent-based
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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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timely research question: How can Large Language Models (LLMs) and intelligent agents support transparent, scalable, and auditable clinical data harmonization? We are particularly interested in: LLM-driven
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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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conditions and policy outcomes. Desired areas of expertise include: dynamic and complex systems, agent-based modeling, computer programming (familiarity with R, Python, Netlogo), statistical analysis