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-ray Computed Tomography (XCT) has evolved into a significant "big data" challenge, with a single scanner easily generating over 10TB of data annually. The sheer volume of this structured data creates
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radiographs. However, real-world experiments often face "limited data" conditions caused by strict time constraints, radiation dose concerns, or experimental rigs that physically block certain imaging angles
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Position Details Position Information Recruitment/Posting Title Research Assistant Data Analyst (Temporary Part-Time) Posting Number 26TM0160 Department Nursing Science Overview The School
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by the future of technology, and want to be part of a unique and diverse community that works on high-impact research, educational, business, and societal problems. Position Summary The Data Science
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We are recruiting for an exciting research role as a Research Assistant/Data Coordinator, for the Children’s Surgery Outcome Reporting (CSOR) programme. This position is ideal for candidates with
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PhD Studentship: Development of a novel analytical platform combining laser-based techniques and multivariate data analysis for the characterisation of radioactive waste disposal materials The aim
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may be removed before the deadline. Modern low-carbon energy systems such as photovoltaic (PV) arrays and battery energy storage systems (BESS) generate extensive measurement data (electrical, thermal
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PhD Studentship in bioinformatics and cardiovascular biology - Exploring the application of geocomputational methods to high resolution spatial transcriptomics data from the human heart Award
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This PhD project will focus on developing, evaluating, and demonstrating advanced data analytics solutions to a big data problem from aerospace or manufacturing system to uncover hidden patens
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to analyse next-generation spatial transcriptomics data, advancing our understanding of cardiac ageing and disease. Background: Spatial ‘omics methods measure gene or protein expression in their native context