184 cloud-computing-"https:" "https:" "https:" "https:" "https:" "https:" "https:" research jobs at University of Oxford in United Kingdom
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that this project will be a launchpad for additional research questions and Prof. Mosher will support the development of a future independent research program. The University of Oxford is committed to equal
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to reduce inequality in high-income countries, and/or (3) the study of social mobility and its relationship to economic inequality. The post holder will work with the INET Oxford programme on Economics
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for the management and delivery of the Division’s training programme, and play a key role in developing strategy and policy in this area, as well as evaluating courses and events, and implementing new initiatives
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graduate teaching, supervise postgraduate research, exercise academic leadership, and pursue an active programme of original scholarship within the field. This post is designed to ensure continuity and
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by ATi/Innovate UK and Rolls Royce and is fixed-term to June 2029. You will join a world‑leading programme advancing experimental and numerical methods to predict the impact performance of composite
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/medical statistics, bio/medical engineering, health data sciences, health informatics, computer science, clinical artificial intelligence, environmental epidemiology, climate data sciences, remote sensing
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contribute to funding applications, strategic planning for the vaccine programme, and take part in public engagement and training activities. It is essential that you have a primary medical qualification (e.g
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Applications are invited for a part-time (0.8fte, however 0.5fte will be considered) Research Assistant to support a programme of work at the intersection of AI, ethics, creativity, and young
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opportunity for candidates to pursue an independent research programme in quantitative finance, and in particular data science applied to quantitative finance. Postholders will be concurrently elected
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program exploring the role of fluctuations in molecular transport processes by studying highly controlled experimental models at the meso- and nanoscale, funded by a UKRI Frontier Research Guarantee Grant