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adaptability of robotic systems. In particular, the research will investigate distributed and/or game-theoretic control frameworks for multi-robot systems, integrating optimization-based planning with learning
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networks. Participation in national and internationally funded research projects. Contribution to advanced digital twin and agent-based simulation platforms. Opportunities for interdisciplinary collaboration
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Job Title County Extension Agent - Agriculture Natural Resources - Ellis County Agency Texas A&M Agrilife Extension Service Department County Program D08 Proposed Minimum Salary Commensurate Job
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structures (Banner, Workday, Salesforce, ServiceNow, and other enterprise systems) and build modern, scalable data pipelines and transformations that enable analytics, automation, applied AI, and agentic
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bien calificadas, publicaciones). Experiencia con métodos cuantitativos (por ejemplo, modelización basada en agentes, estadísticas multivariantes). Medium to advanced programming skills (preferred
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based on an orchestrator and a set of intelligent agents for information retrieval and processing; - Validation of proposed solutions through empirical studies in representative decision support and
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within a Research Infrastructure? No Offer Description This is NTNU NTNU is a broad-based university with a technical-scientific profile and a focus in professional education. The university is located in
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01.03.2026, Academic staff The Chair of Spacecraft Systems is looking for academic staff to support the AI methods for discovering, classify-ing, and identifying objects in space based on event
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: 88156BR The overall goal of the research project is to aid in the development and application of novel agents to alleviate the burden of congenital heart defects, pulmonary hypertension and birth asphyxia
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 6 hours ago
mission development as well as societal applications. The overarching goal of this project is to enhance ISSM’s capability, scalability, and accessibility by developing a multi-modular, agentic AI framework