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specialists, helping to shape the College’s approach to AI integration while maintaining its liberal arts values. Responsibilities include: Collaborating with and supporting Bowdoin faculty in integrating AI
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astrophysics, cosmology, or a related field completed by the start date; strong programming skills; working knowledge of machine learning applied to astrophysics and cosmology, in particular simulation-based
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language processing, and data harmonization, with applications in biomedicine and related domains. The Postdoctoral Research Associate will collaborate closely with graduate and undergraduate students, scientific
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analysis, and data visualization. Apply advanced statistical, machine learning and AI methods when appropriate. Review analysis outputs and ensure methodological consistency and quality. Collaborate with
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faculty affiliated with the policy research taskforce of the Critical Minerals Hub at Duke University and will support collaboration and integration at the nexus of multiple disciplines involved in the Hub
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, with the possibility of renewal, in the field of Analysis and Partial Differential Equations (PDEs). Job description - The successful candidate will collaborate on research projects related
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infrastructure to capture and curate both experimental and simulation data and collaboratively build machine learning models to predict behavior of novel materials for memristor applications. This is an
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statistical and machine learning methods applied to large claims and electronic health record databases and multimodal data, including physiological waveforms and medical imaging. We foster a collaborative and
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of engagement. Read more at: Department of Computing Science Project description and working tasks The project will develop privacy-aware machine learning (ML) models. We are interested in data-driven
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analysis, data organization and quality control, software testing, visualization of research data, scientific documentation, and general laboratory research support while working collaboratively with a