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Field
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Your Job: In this master thesis, a multi-agent-based local energy market simulation ASSUME shall be extended to account for district grid constraints. The objective is to investigate how local grid
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Your Job: As part of this master`s thesis, the agent-based energy market simulation ASSUME should be expanded to include the local neighborhood. The goal is to further develop the existing
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-agent systems. Methodology: Integrate ToM models with Reinforcement Learning based frameworks for single-agent and multi-agent decision-making. Develop simulation environments capturing realistic human
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the creation of realistic simulated environments based on environmental data. - Defining evaluation protocols and performance metrics (safety, energy, mission efficiency). - Contributing to scientific validation
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Responsibilities: Deliver hands-on, skills-based instruction on AI Agents aligned with course objectives and industry standards. Teach adult students how to design, build, and deploy AI agents using modern tools
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classification, web scraping, environmental DNA, satellite imagery) and agent-based models and ecological simulations. Our recent work, funded by the Monash Data Futures Institute, has piloted the development
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. This position is part of the DOE-BES initiative Integrated Scientific Agentic AI for Catalysis (ISAAC), a multi-facility collaboration integrating experimental measurements, simulations, and data science to
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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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, and can analogous mechanisms be engineered into multi-agent AI systems? You would answer this question by building and testing computational models, developing multi-agent simulations where agents
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or frameworks Conduct thorough testing and debugging of the AI agents in pilot runs, and optimize their performance based on user feedback to ensure a high-quality user experience. Ensure synergy in AI-related