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Kids in Scottish prisons. The successful candidate will significantly contribute to data collection, data analysis, write-up and dissemination of results. They will collaborate with the Scottish Prison
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-to-phenotype models for human health at the Big Data Institute (BDI), University of Oxford. The successful candidate will contribute to a strategic research programme integrating population-scale biomedical data
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for the development and delivery of the University’s Management Information solutions to support the University’s needs for Data Integration and Business Intelligence (BI) as well as key performance indicators which
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modelling, CFD mesh generation in complex 3D geometries. Proficient in handling large data sets and the ability to analysis and interpret results. Experience in commercial CFD package such as ANSYS package
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of healthy aging using cutting-edge single-cell and AI-based tools, and population cohort data. You will be an integral member of the Awadalla lab, working with some of the world’s largest single-cell data
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implementation of the nature track including enquire and conversion. This activity will be informed by data, aligned to recruitment priorities and focused on achieving strong conversion outcomes. Other
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the implementation of functional enhancements to the HPC. The role sits within the Platforms & Research Systems Team, in the Information & Library Services Directorate (ILS), complementing the existing operations
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Researcher to explore the cellular and genomic determinants of healthy aging using cutting-edge single-cell and AI-based tools, and population cohort data. You will be an integral member of the Awadalla lab
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To help you submit the strongest possible application, we’ve created a Candidate Information Pack that provides further information about the role and how to apply. It outlines what we’re looking for, how
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analysing data. One of the key aims of the project is to improve understanding of how introducing new professional roles into primary care can improve patient care and outcomes. The successful applicant will