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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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of statistics and experimental design are essential for this role. As an employer, we genuinely care about your happiness and wellbeing at work and this is reflected in the range of benefits that we offer
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and analysis of probabilistic and social choice models, help with the design and conduct of experiments, perform literature reviews, and contribute to the drafting of technical reports and publications
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support the development and analysis of probabilistic and social choice models, help with the design and conduct of experiments, perform literature reviews, and contribute to the drafting of technical
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vaccine platforms. You will provide support in the insectary work, and the related in vivo experiment and research work including research design, methodological development, and the analysis and reporting
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the Department of Engineering Science at the University of Oxford. The post is funded by the Oxford Martin Programme on Circular Battery Economies. It is fixed term up to December 2027. You will undertake
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with an international reputation for excellence. The Department has a substantial research programme, with major funding from Medical Research Council (MRC), Wellcome Trust and National Institute
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, informing experimental design and ultimately suggesting interventions to improve patient outcomes. You will join a computational biology team that collaborates closely with clinicians, molecular biologists
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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
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About the role We have an exciting opportunity to join the Draper Group in the Department of Paediatrics as our Clinical Research Fellow – Malaria Vaccine Programme. This role is focused