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to harness data, artificial intelligence, emerging technologies and digitally enabled operating models to: Transform the student and colleague experience. Strengthen education and graduate outcomes. Accelerate
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enrollment forecasting Evaluate emerging enrollment technologies, artificial intelligence applications, analytics tools, and CRM capabilities, recommending and implementing innovations that enhance enrollment
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whose scholarship or teaching connects to the mathematics of artificial intelligence and machine learning. The teaching load is two courses per semester. Bowdoin is particularly interested in candidates
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of the University of Udine in the academic Year 2026/2027, 42th cycle: - Computer Science and Artificial Intelligence; - Molecular Medicine; - Food Science; - Environmental and Energy Engineering
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at the intersection of artificial intelligence and the liberal arts to shape the future of AI engagement in higher education. The appointment will be for two years. The ideal candidates will have a demonstrated
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Package 7 randomized trial based on comprehensive cardiac assessments. This includes preparing materials for patient enrollment in the study, which evaluates the benefits of artificial intelligence as a
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teaching, research, and community engagement. This position offers a unique opportunity to contribute to an innovative interdisciplinary research project at the intersection of artificial intelligence
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of Artificial Intelligence and Data Science for Policy. Candidates should have deep expertise in AI/ML/data science methods and the drive to see applications through to real world impact in public policy settings
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have earned, or are nearing completion of, a PhD in Computer Science or a closely related field, with research interests, experience, and demonstrated contributions in Artificial Intelligence
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excellence in both fundamental and applied research, spanning fields such as neuroscience and cognition, humanoid technologies and robotics, artificial intelligence, nanotechnology, and material sciences