209 data-"https:" "https:" "https:" "https:" "https:" "https:" "SciLifeLab" "IFM" "IFM" research jobs at University of Oxford
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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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opportunity to pursue an independent programme of research in this critical area and to join Oxford University’s Tuberculosis Grand Challenge (https://www.ineosoxford.ox.ac.uk/ioi-grand-challenge-tuberculosis
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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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week) and funded for 9 months. It is based in the Department of Psychiatry at the Warneford Hospital. You will assist with data collection and qualitative analysis for the “SABHEE Study: Stories About
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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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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
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recruitment into EPIC-Oxford 2, a new phase of the EPIC-Oxford cohort study, and will work in close collaboration with a Data Manager and epidemiologists from the Unit. The main responsibilities will include