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skilled Research Data Analyst to support the Adolescent Menstrual Experiences and Health Cohort (AMEHC) study, a landmark global health project based in Bangladesh aiming to advance understanding
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This PhD project focuses on the design and evaluation of hybrid quantum–classical algorithms for large-scale data analytics and optimisation problems. The research will investigate how quantum
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. This position contributes to externally funded research activities within RoadSense Analytics (RSA), a video analytics platform that converts traffic video into structured data describing vehicle, pedestrian, and
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information analysis; and external performance reporting, particularly in relation to teaching and learning metrics. Further details can be found on the Planning and Business Intelligence web site at https
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Advancement Data and Reporting Officer to join our dynamic team in the Advancement Directorate, where you’ll play a key role in transforming data into meaningful insights that drive fundraising success and
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Many machine learning (ML) approaches have been applied to biomedical data but without substantial applications due to the poor interpretability of models. Although ML approaches have shown
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platform that converts traffic video into structured data describing vehicle, pedestrian, and cyclist movements. You will work with traffic data generated by RSA, including tracked trajectories and derived
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-quality spectral data from wet-lab experiments is expensive and time-consuming. Furthermore, relying on a single spectral modality often leads to ambiguous generation, as different molecules can yield
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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 now Job no:537359 Work type:Full Time Location:Sydney, NSW Categories:Information Technology The Opportunity Continuing Position 148K to 157K + 17% superannuation As the Master Data Management