534 parallel-and-distributed-computing positions at University of Oxford in United Kingdom
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for the MSc and MPhil in Visual, Material and Museum Anthropology (VMMA) postgraduate degrees. The programme consists of a one-year MSc and a two-year MPhil degree that focus on theories and methods within
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be reporting to the CRANE Programme Manager. CRANE is an EPSRC-funded national ‘network plus’ designed to strengthen the UK Cyber Security Research Community. It will integrate researchers, business
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, Humanities or other relevant subject. You will have some experience and sufficient specialist knowledge in the discipline to work effectively within the research programme. You will also have the ability
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computer programs (Outlook, Word, Excel) To demonstrate good communication skills (both oral and written) To possess inter-personal skills needed to relate to a wide range of people, particularly when
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research and communication skills and help you become an independent scientist who can lead their own research program in the future. You will be expected to contribute directly to scientific publications
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at the intersection of AI safety, computational social choice, and judgment aggregation, aiming to formally integrate multi-stakeholder preferences into AI system design and evaluation. The post holder will take a
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Archaeometry Editorial Coordinator About the role We are seeking a proactive and detail-oriented Editorial Coordinator to support the editorial operations of Archaeometry, a leading journal in the field of scientific archaeology. Based within the Research Laboratory for Archaeology and the...
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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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Finance Division We're seeking a proactive Projects Finance Advisor to manage our Digital Transformation Programme related projects. You will be the prime Research Accounts contact person for any
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computational social choice, and aims to develop formal frameworks and algorithms for eliciting, aggregating, and analysing stakeholder preferences over risk and safety in AI systems. The Research Assistant will