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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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Clarendon Fund The Clarendon Fund offers around 200 new fully funded scholarships each year to outstanding graduate scholars. For more information, including details of the selection process, visit
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Oxford-Weidenfeld and Hoffmann Scholarships and Leadership Programme For more information about the scholarship visit the Weidenfeld and Hoffmann Scholarships and Leadership Programme page.
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aligned with the project aims, and critically analysing, interpreting and presenting experimental data with scientific rigour and reproducibility. You will manage your own academic research and
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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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-time, permanent, 36.5 hours per week. We are advertising these posts as full-time positions. For more information, please click on the document below. What We Offer We offer a range of family friendly