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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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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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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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optimise techniques for data collection and analysis. Conduct rigorous data analysis and maintain high standards of data integrity. Prepare reports for sponsors and present findings at internal and external
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Developing novel tools for the analysis of local order using total scattering data (TScat)
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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
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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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for this role, you will provide personal data which the College will process in accordance with its data protection obligations and its Data Protection Policy. For information about how Trinity Hall handles
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behaviour testing of steel and aluminium members/connections iii. Fabrication trials and validation of welded structural components iv. Data acquisition, instrumentation and monitoring during laboratory