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, knowledge base articles, and support documentation for AI services. Monitoring platform capabilities, feature releases, and roadmap developments to provide recommendations on new AI offerings and enhancements
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; computational work using the University of Pennsylvania’s extensive high-performance computing resources; and intelligent use of AI and agentic coding tools. In addition to data-related tasks, the predoc will
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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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learning-based surrogates for physical systems LLMs and scientific agents – large language models that autonomously reason, plan and execute scientific workflows AI for engineering design – LLM-driven agents
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processes and requirements Develop specific solution UAT approach/plan, criteria, and scenarios Coordinate Go-Live readiness activities with Program Manager to deploy solutions Maintain program knowledge base
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will contribute to and lead research in the following areas related to our current and past projects https://gxrlab.rf.gd/research/ : Intelligent Motor Skill Learning: Developing AI-driven, physics
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model integrity and data confidentiality. The successful candidate will develop novel frameworks that enable effective collaboration among language model-based agents without exposing proprietary
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. Assisting in the research and implementation of AI agent-based approaches for automated ontology alignment and semantic integration across distributed systems. Participating in the design and validation
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, student, alumni, affiliates, partners, suppliers, third-party, customer and agentic identity. Define and guide access control models (RBAC, ABAC, PBAC), segregation-of-duties (SoD) principals, and access re
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Quickbooks filing maintaining data bases & mailing lists developing and maintaining websites designing newsletters providing support for county agents and program assistants You will report to an Area Director