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integration. Lead and contribute to research involving AI-powered and AI-enabled robotic systems, including deep reinforcement learning, computer vision, and human-robot interaction. Facilitate strategic
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) are fully benefited employees with UM health insurance/dental/vision, life insurance, retirement program, etc. Applicants from groups that are traditionally underrepresented in the STEM are strongly
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(LLMs), and Vision Language Models (VLMs) Develop Retrieval Augmented Generation (RAG) models Develop manifold learning (e.g., tSNE and UMAP), unsupervised clustering Analyze electronics health record
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the university’s strategic vision for AI-powered medical education. This position provides mentored career development in a dynamic and rapidly evolving field, with opportunities to contribute to high-impact