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Specialized areas: Deep Learning, Generative AI, Prompt Engineering, Conversational AI and Chatbots, Reinforcement Learning Applied domains: Machine Learning for Cybersecurity, AI for 3D Imaging, Recommender
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that impact student learning. Exhibit a deep understanding of how in-school and out-of-school factors influence student achievement, the role of school systems to prioritize the success of its most vulnerable
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within SCI and across other departments within Pitt, and initiatives like the $11.6M Western Pennsylvania Quantum Information Core (https://www.pitt.edu/pittwire/features-articles/pitt-investment-pa
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integration across identity management, research computing platforms, AI/ML workloads, and a growing portfolio of cloud-native and hybrid applications. This hands-on technical leadership role requires deep
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-driven organization Application instructions: Posting Number: 20220795-STAFF Posting Start Date: 03/16/2026 Application Deadline: 4/3/2026 To apply, visit https://stcatherine.peopleadmin.com/postings/10623
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and dental care programs, generous retirement benefits, and a wide array of family‑friendly and cultural programs to eligible team members. Learn more at: https://hr.duke.edu/benefits/ Choose Duke. Join
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systems. Ths position requires a deep understanding of X-ray Absoprtion Spectroscopy and prior experience with methods of machine learning and artificial intelligence. A highly competitive candidate would
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), with particular emphasis on fairness and privacy. Duties and responsibilities may change over time. The successful candidate will be part of the Deep Data Mining group and Responsible Artificial
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problems, statistical learning and machine learning (machine learning, deep learning) - Knowledge of associated software development tools and environments: Python, PyTorch, Scikit-learn, Jax, Julia
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Informatics, Health Data Science, Biostatistics, or a closely related area. Strong ML/deep learning foundation plus expertise in at least one of: multimodal learning, time-series modeling, or NLP. Demonstrated