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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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skills Biomedical Data Science UG degree: List A List B Introduction to Medical Ethics Python language programming Probability theory, statistics and Bayesian analysis Artificial intelligence in Medicine
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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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). Overview This project develops next‑generation models to predict where earthquake‑triggered landslides will occur and how far they will travel; critical information for protecting lives, infrastructure, and
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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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science research. You will have experience of handling complex survey data at scale. The role holder will support this research using publicly available government and other data (which include NFHS, DHS
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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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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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PhD Studentship in bioinformatics and cardiovascular biology - Exploring the application of geocomputational methods to high resolution spatial transcriptomics data from the human heart Award