205 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "University of St" "St" "St" research jobs at University of Oxford
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details of two referees as part of your online application. Please see the University pages on the application process at https://www.jobs.ox.ac.uk/application-process The closing date for applications is
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About the role This fixed term, non-renewable, one-year postdoctoral position will support continuing analysis of data from the new London English Corpus, which has been developed as part of
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criteria found in the job description, and why you would like to do this role. See guidance at https://www.jobs.ox.ac.uk/cv-and-supporting-statement. Any technical questions related to this vacancy can be
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carried out in collaboration with Prof. Susan Lea FRS FMedSci at St. Jude Children’s Research Hospital, and the successful candidates will have the opportunity to spend periods at St. Jude in Memphis, USA
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decay — helping shape the future of conservation through data and digital insight. This is your chance to combine cutting-edge research with real-world impact. You’ll help advance digital twin technology
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quantitative and programming skills along with a track record of designing neuromodulation and neuroimaging studies in healthy participants, of using computer programs to design experimental paradigms, analyse
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using computer programs to design experimental paradigms, analyse data and conduct advanced statistical analysis. You will have excellent communication skills, including the ability to write
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(min 0.5 FTE) and fixed term for 24 months from March 2026. The post holder will either be based in the Manor Road Building or at the Faculty of Law, St Cross Building, Oxford. Applications
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this role. You will contribute to the design of research materials and make arrangements for data gathering, including data from interviews and surveys, while analysing and presenting qualitative and
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operando data related to battery degradation and safety. You will develop and implement advanced deep learning models to analyse multi-modal operando data from accelerated stress testing, with the aim