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based on the research proposal. The faculty has prepared a guide for writing project descriptions. Qualifications and personal qualities: The applicant must hold a master's degree in information
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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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. 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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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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Directions AI for Scientific Computing Neural Operators and Learning-Based Surrogates LLMs and Scientific Agents Agentic AI for Engineering Design Multimodal Scientific AI Alignment and Verification
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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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beyond traditional QA to design intelligent, agent-based testing capabilities that automatically analyze requirements, understand application code, generate reusable test assets, and continuously improve
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, and validation of membrane permeabilization systems. Establishing parameters to ensure consistent, high-efficiency intracellular delivery of cryoprotectant agents; troubleshoot as needed. Preparing SOPs
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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
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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