399 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" research jobs in Australia
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likelihood estimators, as well as experience in estimating labour supply models and models of wage dynamics. Ability to work with large datasets, particularly panel and cross section data sets of the types
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ranked 2nd in the world and 1st in Australia for Mineral & Mining Engineering (QS Subject Rankings 2025), and 10th in the world for Petroleum Engineering (QS Subject Rankings 2025). For more information
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to: assist Lead CI Betts with management and administration engage in literature research on relevant academic material participate where feasible in co-publication of project data analysis have (or
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have experienced gender‑based violence. A ‘Yes’ response does not automatically exclude a candidate from employment, and any information provided will be treated confidentially and considered only
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by the supervisor This is a research focused position. Further information can be found by viewing UQ’s Criteria for Academic Performance. About UQ Join UQ, a globally renowned institution fostering a
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to support translational outcomes and shared priorities perform quantitative and qualitative data collection, coding, analysis and interpretation, and contribute to the production of high‑quality peer‑reviewed
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organisational skills, with the ability to work effectively both independently and as part of a team be confident using computer applications including the Microsoft Office suite and online collaboration tools
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issues and assisting with interpretation of results. Prepare technical reports and contribute to progress reporting, including data analysis, milestone tracking, and coordination of financial
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theoretical models of dense laser plasmas and laser-matter interactions with respect to obtained experimental data. Advise the industry partner (HB11 Energy), identify perspective scientific directions and
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climate resilience. Working within a world-class research environment, you’ll combine your skills in plant and crop physiology, modelling, phenotyping, data science, and statistics to uncover insights