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identification of phases in metallic systems such as aluminium alloys or steels. You will have demonstrated expertise in applying machine learning and computer vision techniques for the analysis of scientific
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Right to work: Applications from job seekers who require sponsorship to work in the UK are welcome and will be considered alongside all other applications. For further information visit the UK Visas
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Unit and Epidemiological Studies Unit (CTSU), Oxford Population Health (Nuffield Department of Population Health). The postholder will analyse large-scale data from the UK Biobank and China Kadoorie
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statistics component Evidence of interest or experience in clinical trials methodology and adaptive designs Funding information stipend (tax free) of £21,843 pa for 3 years + home tuition fees (overseas fees
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involve extensive field-work at major nuclear laboratories, in particular in Finland, the United States and Canada. Skills in data analysis, scientific communication, radiation detection and measurement
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an English Language level of UKVI IELTs 6.5 (no sub-score below 6.0) or equivalent qualification. Further information Informal project related enquiries about the post can be made to Prof. Derek Ward-Thompson (DWard
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to hear from you! The University of Oxford is partnering with Erin Hall-Westfall and Joanna Logan of Constellate Global Talent on this search. For more information, please go to www.weareconstellate.com to
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collating the information for the monthly news bulletins for all sent Network members. The successful candidate for this full-time post will: Possess a first-class or upper second-class honours degree
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. Collaborate across teams to unlock opportunities. Work closely with marketing, faculty, and partnerships teams to align messaging, improve candidate experience, and unlock new routes to market. Use data
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Confidence in analysing information and providing clear, practical advice to support decision-making Application Process To apply, please upload: A covering letter/supporting statement Your CV The details