530 parallel-and-distributed-computing positions at University of Oxford in United Kingdom
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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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with the possibility of renewal. This project addresses the high computational and energy costs of Large Language Models (LLMs) by developing more efficient training and inference methods, particularly
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the established database, web systems, and frameworks for high-throughput data processing and integration. The role will also involve utilising high-performance computing clusters, storage systems, databases, and
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Programme Manager, using the contact details below. Only online applications received before 12.00 midday on 29th August will be considered. Interviews will be held as soon as possible thereafter
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and Prof Paul Shearing. The post is funded through a strategic research partnership and is fixed term for up to 2 years. To support the programme, the post holder will be required to carry out research
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University-led flagship initiative that is driving innovation-led growth across Oxfordshire. The postholder will lead the planning and delivery of a strategic programme of high-profile events that elevate the
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research initiative funded by ARIA, titled Aggregating Safety Preferences for AI Systems: A Social Choice Approach. The project operates at the interface of AI safety and computational social choice, and
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providing support and guidance to the Graduate Studies Officers. You will be responsible for graduate admissions, on-course graduate programme management and delivering projects such as outreach and induction
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NDPH Fellowship programme is intended to support suitably experienced individuals to develop an independent research area which will enhance Population Health research in Oxford. You will be responsible
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NDPH Fellowship programme is intended to support suitably experienced individuals to develop an independent research area which will enhance Population Health research in Oxford. Under the guidance