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About the role The Archives and Modern Manuscripts section is part of the department of Special Collections within the Bodleian Libraries at the University of Oxford. We are currently looking
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The post-holder will be provided with training to develop their research skills and experience as they work as a research assistant across a range of qualitative projects and tasks. The ideal
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epidemiology, biostatistics and health economics. You will also have a unique opportunity to develop your clinical experience and expertise in the management of adults with rare bone disorders from the clinics
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individual to join the RGEA Team in the Research Services Department at the University of Oxford. Oxford is a world leader in research, engagement and innovation, tackling global challenges and solving real
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environment and are happy to discuss training and professional development opportunities. Please direct any queries to recruitment@glam.ox.ac.uk. Only applications received online by 12.00 midday (BST
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tact and diplomacy with visitors and group bookers from around the world and key stakeholders within the University. Putting our visitors first, you will support in developing and marketing new products
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or Part time working, min 90% FTE will also be considered) Spanning the historic streets of the “city of dreaming spires,” the University of Oxford has been ranked the world’s leading university for nine
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We are looking to hire postdoc with a background in MRI physics/engineering, between whom we will gain experience in: Biophysical modelling Bloch-based physics simulation Multi-modal quantitative MRI MRI experiment and analysis The post-holders will work closely together and with other members...
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to interpret complex data. Grade 7: £38,674-£46,913 per annum Whilst the role is a grade 7 position, we would be willing to consider candidates with potential but less experience who are seeking a development
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to their maximum advantage. More specifically, we will develop both a methodology for deploying LLMs in individual agents (an “LLM-based agent architecture”) and a methodology for building LLM-based multi-agent