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Oxford-Weidenfeld and Hoffmann Scholarships and Leadership Programme For more information about the scholarship visit the Weidenfeld and Hoffmann Scholarships and Leadership Programme page.
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the University of Oxford, the postholder will conduct scientific research that refines existing methods, sheds light on the impacts of climate change in understudied regions, and informs adaptation and legal
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Oxford-DeepMind Graduate Scholarship (Computer Science) The Oxford-DeepMind Graduate Scholarships (Computer Science) are available for applicants to any full-time DPhil course within, or affiliated
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) position on the project Aggregating Safety Preferences for AI Systems: A Social Choice Approach, funded by ARIA under the Safeguarded AI TA1.4 call. The project explores novel aggregation methods
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explores novel aggregation methods at the intersection of AI safety, computational social choice, and judgment aggregation, aiming to formally integrate multi-stakeholder preferences into AI system design
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medical image analysis. Our finite element brain models are based on tissue segmentation and our numerical simulations are validated against existing imaging data. The group’s long-term vision is to impact
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used in our work centre around optical imaging and spectroscopy and nanofabrication. The work also relies on theory and simulation, specifically focusing on numerical mean-field electrostatics
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particular the graduate course on Life Course Research and the undergraduate optional course in Quantitative Methods. The main duties will also include taking part in assessment and examining and supporting
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primarily lecture and teach students taking the MSc in Sociology by leading on qualitative methods and the political and civil conflict option paper and supervising dissertations. The main duties will also
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project will involve both remote-sensing and field-based observations and data collection. It will provide outputs to the World Bank CAWEP (Central Asia Water Energy Power) programme to aid the design