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Field
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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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, visualization, and AI infrastructure, along with scientific consulting, user support, education, and training. RCC also helps researchers leverage local, national, and cloud-based computational resources
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. Mastery architecting LLM-based agentic systems, including orchestration, tool use, and evaluation. Mastery with Linux, HPC, and cloud environments. FLSA Exempt Full Time/Part Time Full Time Number of Hours
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LTH on lth.se . Subject and project description The study subject is computer science with a focus on AI engineering, i.e. engineering of systems containing AI-based features (LLM or ML). Application
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senior authority on accreditation, educational quality, and evidence-based program evaluation, ensuring compliance with national, state, university, and professional accreditation requirements while
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colleagues, academic program coordinators, and students. Monitors and responds to inquiries from prospective international students, agents, and stakeholders using Slate, Outlook, WhatsApp, and other multi
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Scholarship of Teaching and Learning (SoTL) Laboratory to design, build, and maintain a next-generation learning platform that leverages large language models, AI agents, and cloud technologies to support
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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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. 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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that faculty, students, and external audiences can use, learn from, and build on. The role combines creative and intellectual ambition with strong technical ability, including fluency with agentic coding tools