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/nanoplastics, and other environmental compounds to assess their potential impacts on human health and the environment using machine learning (ML), deep learning (DL), and big data analytics. His lab is
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/nanoplastics, and other environmental compounds to assess their potential impacts on human health and the environment using machine learning (ML), deep learning (DL), and big data analytics. His lab is
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/nanoplastics, and other environmental compounds to assess their potential impacts on human health and the environment using machine learning (ML), deep learning (DL), and big data analytics. His lab is
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engineering Background in deep learning, computer vision, LLMs, visual language models, agentic AI, AI system design. Equipment Utilized Physical Demands and Work Environment Special Conditions Posting Details
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employees includes maintaining and fostering a safe, diverse, and respectful workplace environment, creating employment opportunities for our nation’s military veterans, and ensuring accessibility and
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to detail and willingness to learn new computational and laboratory techniques. Preferred Qualifications Familiarity with Python, machine learning, Linux-based computing, molecular biology, or cell culture is
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learning on and off campus, including a growing emphasis on international experiences through short- and long-term study abroad. Students also have access to a robust program of applied research and outreach
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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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Learning: Apply shape-correspondence and machine-learning approaches, including spectral/graph-based surface alignment and autoencoder-based shape extraction, to compare limb and joint morphology across
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recognized as a national model for civically engaged urban universities and was selected by the Carnegie Foundation for the Advancement of Teaching for a Community Engagement classification. Washington Monthly