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Field
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(especially LLMs / VLMs) Human-AI Interaction Or Bring-your-Own research topic Who We Are Looking For: We seek highly motivated and talented individuals passionate about AI, Human-Computer Interaction, Eye
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, PyTorch, JAX etc. Experience with modern AI concepts such as large language models (LLMs), vision-language models (VLMs), model context protocol (MCPs), and the development of agentic AI tools. Skill in
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. Practical experience in LLM and agentic solution development for document processing pipelines and analysis solutions. Experience architecting and development enterprise solutions to support procurement
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
, designing tools for data interpretation and visualization, and/or training foundation models and large language models (LLMs) for diverse biomedical applications. Dr. Li has published over 70 peer-reviewed
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well as deploying LLMs in multi-agent settings. Excellent communication and presentation skills are essential, with the ability to convey complex technical work clearly to academic and external audiences. The post is
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, statistics, quantitative/qualitative analysis. - Appetite for educational AI, LLMs, or data analysis (advanced skills not required but appreciated). Cross-functional skills - Interdisciplinary teamwork
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with open-source LLM infrastructure or vendor-independent systems, background in decision-making research or collaborative work analysis, familiarity with information environments or narrative analysis
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modeling, LLM and/or NLP, behavioral coding, and/or psychophysiological monitoring. For consideration, please click the link below to apply and submit all required application materials: https
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, we aim to explore more effective training algorithms for Large Language Models (LLMs). (2) Applications of AGI in Foundational Science: Leveraging the high-order reasoning capabilities of Large
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, distributed systems. Experience in DevOps tools, including but not limited to Docker, Kubernetes, building CI/CD pipelines Experience in language modeling research and LLMOps, including but not limited to LLM