117 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "University of Kent" Postdoctoral research jobs at University of Oxford
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, please contact Professor Keith Channon: keith.channon@cardiov.ox.ac.uk or cvm_personnel@cardiov.ox.ac.uk. For more information about working at the Department, see https://www.rdm.ox.ac.uk/ The University
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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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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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these and to deduce fluxes of heat and material across the MTZ. The post holders will be responsible for compiling seismic data sets (focusing on surface-wave overtones and body-wave data including precursors
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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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unprecedented precision, one at a time and in real time (Nature, 2010; Nature Nanotechnology, 2012, 2017; Science 2025). The project involves a combination of optical imaging, nanofabrication, data analysis, and
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their host galaxies by overcoming the glare of the AGN that overwhelms the host galaxy’s light. The successful candidate will primarily analyse data from the James Webb Space Telescope. In addition, they will
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The post holder will join the Physical Oceanography and Palaeoclimate groups in the Department of Earth Sciences and perform numerical model data analysis relevant to two projects: MEZCAL and