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material dynamics that shape embodied learning across four vocational programmes (to be selected in collaboration with the postdoctoral researcher). The project comprises three subprojects. The postdoctoral
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machine learning for the next generation of AI models – uncertainty-aware foundation models, generative models and world models – with the support of competent and friendly colleagues in an international
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fingerprinting (RFF) systems using machine learning. The successful candidate will have significant experience in signal processing or machine learning, and an outstanding track record in conducting research. You
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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