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Field
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(data aggregation and processing, database management, analysis, and visualisation). Operating within Unix-based environments (headless servers, HPC clusters), with a preference for experience managing
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to carry out research in the field of plant breeding, phenotyping, crop modelling, GWAS and genome analysis, particularly in cereals Demonstrated capacity to manage and analyse large data sets. Track record
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design, data analysis, and dissemination of findings through publications and presentations. The successful candidate will have the opportunity to contribute to a collaborative and dynamic research
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), clinical trials, disease surveillance, and the use of novel methods including Bayesian network, machine learning, social network analysis and dynamic data visualisation tools. Further information is
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, providing evidence-based analysis for determining force effectiveness. The applicant will work with other researchers and engineers in A/Prof Szabo’s team who share broad goals in modelling and simulation and
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palliative care quality initiatives globally, PCOC supports clinical services through robust data collection, analysis, and quality improvement tools, with the aim of enhancing care experiences and outcomes
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using statistical analysis. Experience in project management and working on field projects in the parenting field, and/or experience in working on large scale projects using administrative data. Relevant
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required of the position. Undertake literature searches and reviews. Assist with the preparation of ethics and governance applications. Undertake data collection and preliminary analysis. Assist with
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skills, with the ability to collaborate in multidisciplinary teams. Extensive experience in investigative research, demonstrating expertise in research methodologies, statistical analysis, and the
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an opportunity to work with the Bureau of Meteorology, applying advanced analysis and programming skills to operational weather data for forecasting at various time scales. Key responsibilities include independent