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learning, and multi-agent learning (e.g., game theory). Funded by Ministero dell’Università e della Ricerca under the FIS3 Call (Fondo Italiano per la Scienza). Project FIS-2024-05736 (Starting Grant), title
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(statistical and/or computational); and, where appropriate, their implementation and experimental validation through simulation. The research will make use of techniques from online learning and multi-agent
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comprehensive benefits package designed to support personal and family well‑being. Information is available at https://hr.ufl.edu/benefits/ . Within the University of Florida, UF/IFAS Extension delivers science
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environment requiring a high level of multi-tasking. Ability to work under pressure and unsupervised required. Ability to obtain Passport Acceptance Agent Certification within one week of start date. Preferred
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compromise system integrity, safety, or performance. In this project, the research done by the PhD student will address the interaction layer in a multi-agent systems. It will focus on how to secure
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Minnesota State Colleges and Universities, System Office | Saint Paul, Minnesota | United States | 1 day ago
universities into one system. The system is separate from the University of Minnesota. Connections working at Minnesota State Colleges and Universities, System Office More Jobs from This Employer https
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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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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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the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The agent will be
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TEC. 2. OBJECTIVES: - Review of techniques and work related to Agentic Retrieval-Augmented Generation (Agentic RAG) architectures, multi-agent systems, and the integration of heterogeneous data sources