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behaviours of multi-agent systems in response to changing internal states and external environmental conditions. Both traditional model-based approaches and modern learning-based control techniques will be
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and tools with a specific focus on Software Engineering for AI/ML (SE4AI) and AI for Software Engineering (AI4SE), Software Engineering of Agentic AI and Multi-agent Systems, MLOps and ML Systems
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robotics, drones, UAVs, multi-robot systems or smiliar, and practical applications of LLMs, agents, RAG, MCP, or fine-tuning. Proficiency in software development (Python, C/C++), skills in data analysis, and
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; Distributed multi-agent sensing and cooperative positioning algorithms; Machine learning and data-driven methods for ambient awareness. Working Environment: The PhD will be conducted at the University
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in Melbourne. RMIT University is the employing agent for ATN staff. Learn more about the ATN at the following link: https://atn.edu.au/ To Apply Please submit your CV and covering letter addressing
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Classification Title: RSA & Ext Agent II - IV Classification Minimum Requirements: Candidates shall hold a master’s degree or 50% of hours completed towards a master’s degree along with qualifying
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Minnesota State Colleges and Universities, System Office | Saint Paul, Minnesota | United States | 21 days ago
practices, data analysis tools (e.g., Power BI, Tableau), and Microsoft Power Platform (e.g., Power Automate, Power Apps, and Power Virtual Agents). Demonstrableexperiencedevelopingandexecutingenterprise
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Research Analyst I (Duke RBL Virology) Duke RBL Pathogens Unit – Duke Human Vaccine Institute Be You. Position Overview: The Duke Human Vaccine Institute (DHVI) is a multi-disciplinary research organization
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Agentic Retrieval-Augmented Generation (Agentic RAG) architectures, multi-agent systems, and integration of heterogeneous data sources; - Design, development, and integration of Agentic RAG architectures
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specific focus on Software Engineering for AI/ML (SE4AI) and AI for Software Engineering (AI4SE), Software Engineering of Agentic AI and Multi-agent Systems, MLOps and ML Systems Lifecycle, DevOps/CI-CD