214 data-"https:" "https:" "https:" "https:" "https:" "https:" "SciLifeLab" research jobs at University of Oxford
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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
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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
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, and legal compliance and manage timelines and data storage and access and support processes relating to financial management. They will also work with the project administrator to support their
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We are seeking a Senior Researcher to join the Ideker Laboratory at the Big Data Institute (BDI) and the Nuffield Department of Population Health at the University of Oxford. The successful