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Inria, the French national research institute for the digital sciences | Villeurbanne, Rhone Alpes | France | 26 days ago
protecting client data, together with practical guidelines and tools for developers and organisations deploying agentic AI systems. Conduct original research on privacy and security for LLM-based and multi
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, preferably related to serious games and/or agent-based modeling and simulation Desired experience: 2 to 5 years of professional experience Where to apply Website https://www.aplitrak.com/?adid
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schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . We are looking for a Research Fellow in Multi-Agent Path Planning for Autonomous Drone Operations to develop
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, preferably related to serious games and/or agent-based modeling and simulation Desired experience: 2 to 5 years of professional experience Where to apply Website https://www.aplitrak.com/?adid
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faculty based on University campuses, at Research and Extension Centers and in every Arkansas county. It consists of the Arkansas Agricultural Experiment Station (AES) and the Arkansas Cooperative Extension
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a US-based service which processes data on servers based outside the EEA. The Interfolio privacy policy can be viewed here www.elsevier.com/legal/privacy-policy . Information submitted via hard-copy
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shape relational aspects of work. Identify the mechanisms through which AI-mediated contributions and autonomous agents reshape relational dynamics, and develop evidence-based guidance for responsible and
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). Moving away from conventional studies on Muslims in Europe, as foreigners and immigrants, this project considers Muslims as Europeans and agents of their own belonging to the EU. The project has four main
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: JoAnn Vann, County Extension Agent - Staff Chair, 870-352-3505, [email protected] All application materials must be uploaded to the University of Arkansas System Career Site https://uasys.wd5
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include but are not limited to: AI-driven design workflows; machine learning and generative AI models; AI-based performance evaluation and simulation; agentic and multi-agent AI systems; human-AI