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, operations, and communications leadership, we are fostering a culture of deep engagement and philanthropy to support our bold vision for the future. Three of the University of Denver's leading professional
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AI and/or ML that may include natural language processing (NLP), natural language understanding (NLU), semantic understanding, intent classification, computer vision, deep learning, and automatic
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and digital learning resources. This position requires a strong commitment to teaching legal research and technology skills essential to the practice of law, and a deep understanding of the Law School’s
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, national laboratories, semiconductor manufacturers, equipment vendors, and other industry partners. Research directions may include machine learning (ML), deep learning (DL), large language models (LLMs
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or similar. They will have in-depth knowledge of and demonstrated experience of current models for deep learning and machine learning, and strong quantitative (in silico) analysis skills and experience using
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at least one deep-learning framework (PyTorch preferred).•A solid grounding in machine learning. Experience with representation learning, generative models, foundation models or multimodal integration is a
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, cultivate exploration, engagement, and leadership, and develop a deep sense of belonging. We are committed to creating a high-touch environment where students and participants connect meaningfully, grow
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, Interpretability and Transparency, Logics and Analysis, etc. Scientific Machine Learning: PDE Numerical Solutions, Dynamical systems, etc. Deep/Reinforcement/Deep Reinforcement Statistical Analysis and Tuning
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record of publications in reputable peer-reviewed journals in maritime transport, logistics management, machine learning, deep learning, or optimization Proficient in both written and spoken
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to detail and follow-through Excel and related database skills; ability to quickly learn additional computer applications Flexibility and ability to manage multiple assignments from several sources