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data capabilities of the Australian and New Zealand Neonatal Network (ANZNN) within the National Perinatal Epidemiology and Statistics Unit (NPESU), Centre for Big Data Research in Health, Faculty
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. Understanding and quantifying large repositories of data is key to making security effective in practice, and expertise in this area is a prerequisite, as is expertise in the design of such data analysis using
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activities of the Australian and New Zealand Neonatal Network (ANZNN) Clinical Quality Registry (CQR) within the National Perinatal Epidemiology and Statistics Unit (NPESU), Centre for Big Data Research in
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Apply and key information This project is funded by: Department for the Economy (DfE) Summary Serious musculoskeletal (MSK) injuries sustained during sport—such as fractures, dislocations, and
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description This research focuses on developing and validating Big Data-driven methods
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Role Matters: The Lecturer (Education Focussed) plays a key role in delivering high-quality teaching and advancing educational excellence within the UNSW Centre for Big Data Research in Health (CBDRH
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position with a strong preference for candidates with a background and expertise in big data analytics, aviation safety, and machine learning/AI. The Graduate School offers an MS in Aviation with
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On their own, traffic accidents cause 1.3 million fatalities every year – and improper situational awareness is often a major cause. This project aims to exploit big spatio-temporal data to design
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Intelligence, Computer Engineering, or a related field. Possess 3 to 5 years of related working experience. Proven hands-on experience building and evaluating Machine Learning and Large Language Models. Strong
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), providing insightful criteria for their identification in the remaining Euclid and LSST surveys. One of the big challenges of this work is the large set of data currently available. The analysis of this data