216 data-"https:" "https:" "https:" "https:" "https:" "UCL" "UCL" research jobs at University of Oxford
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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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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 sent
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covering letter/supporting statement, CV and the 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
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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
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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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to better predict incident disease from high-dimensional genetic and non-genetic data, quantification of trait heterogeneity and asymmetry from imaging data, leveraging biobank genetic and prescription data
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methodologies to test hypotheses, and identify suitable alternatives if technical problems arise Select, follow, and adapt experimental protocols Gather, analyse, and present scientific data from a variety of
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the group, ensuring that information is communicated, logged and up-to-date. The post-holder will be responsible for recruitment and will be actively involved in all aspects of data collection, including