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of all.” The incumbent will be highly experienced in NHMRC research projects and specifically be experienced with large healthcare data sets and possess advanced skills in intensive care research Your key
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settings. strong experience in biostatistics and data analysis focused on applying large datasets and novel and advanced statistical models in physiotherapy intervention research experience contributing
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’ Health Research (AWaGHR) Centre. This role provides the opportunity to contribute to high-impact research analysing data from the Australian Longitudinal Study on Women’s Health and the Origins and Impacts
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the application of analytic techniques to longitudinal or large mental health data sets or biobanks a strong applied research orientation with a proven ability to build successful working relationships with a
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bioinformatics, programming, and large-scale data mining, within a collaborative, high-performance research environment. You’ll also contribute to service and engagement activities, helping drive innovation and
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cognitive function. Experience with meta-analysis and review-centred applications such as Covidence and Comprehensive Meta-analysis. Experience analysing data using R with big data sets. Experience in
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. This is a research focused position. Further information can be found by viewing UQ’s Criteria for Academic Performance . About UQ As part of the UQ community, you will have the opportunity to work
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managing and processing large data sets and for the delivery, reporting and visualisation of data and results. Demonstrated experience in undertaking field work including planning, coordination and
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, and machine learning/artificial intelligence. This project focuses on the development of novel theoretical frameworks alongside cutting-edge computational techniques for large-scale optimisation
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of mapping in dynamic landscapes. Demonstrated skills in contemporary computing technologies and data science for managing and processing large data sets and the delivery, reporting and visualisation of data