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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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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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(Lua/Java), agent behavior modeling, event handling, and API-based integration with external AI systems. Experience with distributed systems, reinforcement learning, or simulation environments (e.g
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immunosurveillance. Macrophage-based cancer immunotherapy is considered one of the most promising fields in cancer immunology and the next generation of cancer immunotherapy. Recent publications in the Feng lab
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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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of the effects of insect or disease disturbances on forests across the U.S. based on forest inventory data and use a forest simulation model to project the future effects of those agents on forests
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• Support the integration of causal models within agent-based and simulation frameworks • Prepare peer-reviewed journal articles, technical reports, and policy briefs • Assist in stakeholder
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datasets • Support the integration of causal models within agent-based and simulation frameworks • Prepare peer-reviewed journal articles, technical reports, and policy briefs
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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