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and project management skills. You have a proven ability to deliver large and complex projects to an excellent standard. You have exceptional communication skills. You have a high level of IT
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and realign how we measure and model populations by infusing new types of data, methods and unconventional approaches to tackle the most challenging demographic problems of our time. We are looking
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work experience. You must also have demonstrable ability to write R code for data import & manipulation, a working knowledge of SQL, experience using/processing large or complex datasets and a meticulous
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programme focused on integrating and analysing large-scale, multidimensional imaging datasets: MRI of heart, liver, kidney and brain to support early disease detection, improve mechanistic understanding, and
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this area. AI methodologies are increasingly being used to handle and interpret large data sets in sustainability-related research, and we wish to establish a centre of excellence to develop and
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brain injury. It also supports work on brain tumours, muscle and nerve disorders. Additionally, the OBB’s historical archive comprises cases of many rare diseases, as well as large cohorts
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research, harnessing the power of generative artificial intelligence (GenAI) to impact millions of families globally. Building on large-scale research and implementation of parenting programmes in the Global
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Assurance. You will also be responsible for ensuring that Departmental, Divisional, and University policies and procedures regarding information security and data protection are adhered to at all times. To be
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About the role We have an exciting opportunity for a Research Data Integration and Software Developer to join Oxford Cancer, a city-wide research initiative and partnership between Oxford University
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This could be your first big step towards a career in Facilities Management! Join us as an Apprentice Facilities Support Assistant at the University of Oxford and gain hands-on experience, achieve