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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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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
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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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analysis, activity-based modelling, and integrated transportation and land use modelling. Demonstrated experience in econometrics and agent-based microsimulation for large-scale regional travel demand
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Center for Drug Evaluation and Research (CDER) | Southern Md Facility, Maryland | United States | about 11 hours ago
& simulation to predict various outcomes, including efficacy and safety for opioid overdose reversal agents. Note: you will not be involved with any regulatory decision making and policy discussions. CiVM
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. Integrate fine-tuned LLMs into the existing agent-based simulation framework in HEVI-LOAD to enable agentic scenario planning and parameter tuning. Design and develop novel multi-agent reinforcement learning
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of the following activities: Activity 1: Assessment of the direct effects of the biological control agent Trichilogaster acaciaelongifoliae Assess the establishment of the biological control agent along
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. The research will be conducted within the MIST project (Scalable Mechanistic Interpretability for Safe and Trustworthy LLM Agents), recently funded by the Novo Nordisk Foundation. The project aims to develop new
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Opportunity You will play a key role in advancing agent-based travel demand modelling to help shape healthier, safer and more active cities. You will help build innovative modelling frameworks, analyse real