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Developing novel tools for the analysis of local order using total scattering data (TScat)
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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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The University and UIS University Information Services (UIS) provides the digital infrastructure, business information and computing services at the heart of one of the world's top universities
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Broodles and Usual Support (US), collection of outcome data, and economic methods for future trials. The post is situated in the Intellectual Disabilities Research Institute (IDRIS) in the School of Social
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intelligence, and to help shape how data and insight are used to inform strategic decision-making across the institution. You will work with a rich and complex range of higher education data — including student
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About the Role Data integrations sit at the centre of Queen Mary’s application landscape. They move critical information between systems such as SITS, Salesforce, Moodle, finance and HR platforms
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this challenge by developing modern data driven tools that help predict and manage corrosion in next generation bio refineries. The project brings together leading researchers from University of Leeds
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transformative potential for mental health research, applying these methods within Secure Data Environments (SDEs) requires specialized infrastructure and practices that align with epidemiological rigor. You will
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and conduct field measurements of lift traction motor noise and vibration in residential buildings using sound intensity probes, accelerometers, and multi-channel data acquisition systems. ii. Perform
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of pre-eclampsia Research area and project description: Pre-eclampsia affects 1 in 10 pregnancies, yet diagnosis remains uncertain. This PhD will integrate clinical data and blood biomarkers to improve