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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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the Office of Postdoctoral Affairs. The FY27 minimum is $79, 056. Position description The Ocean Policy Lab seeks a postdoctoral scholar in economics or a related quantitative social science to collaborate
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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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responsibility for carrying out research in rough path theory, machine learning, generative AI and related fields as part of the DataSig II grant “High order mathematical and computational infrastructure
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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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collaborative research agenda. The successful candidates will work at the interface of applied mathematics, statistical inference, machine learning, and quantitative/systems biology, developing methods
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collaborate closely with the supervisory team and colleagues. This is what we ask of you You enjoy experimental research and want to work at the interface of physical chemistry, spectroscopy, photochemistry and
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for original or collaborative scholarship Scientific writing skills demonstrated through peer-reviewed publications Ability to acquire accurate, reproducible data Critical eye towards consistency
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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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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