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Creative arts Design Engineering English language and pathway programs Health Information technology and games Justice Languages Law Mathematics and data science Science Teaching Explore Mid-year entry QUT
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, criminology, statistics, or data science experience in managing and analysing large relational datasets in R, SPSS, Stata or similar software strong quantitative skills excellent communication skills, both
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The Centre for Data Science (CDS), the Australian Institute of Sport (AIS) and Queensland Academy of Sport (QAS) are leading a consortium of government and industry organisations in sports, sports and
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and climate change. We pursue high-level engagement with a range of sectors to deliver benefits across health, transport, aerospace, manufacturing, mining and agriculture.. What you need to succeed
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partners to build new, and improve existing, systems and technologies across mechanical, medical, mining, food and beverages, oil and gas, energy, waste, sugar, and chemical engineering industries
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, and mortality. This will be achieved by linking large existing datasets that contain data on people with diabetes foot disease in the community (such as Diabetes Registries, Diabetes Foot Registries
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looking to establish a pool of QUT students who can support information and technology services across the University. You will be trained in QUT digital services and will draw on your own experience as a
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looking to establish a pool of QUT students who can support information and technology services across the University. You will be trained in QUT digital services and will draw on your own experience as a
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will collect and analyse clinical, demographic, diet, and lifestyle data to identify modifiable predictors and stratify patients by malnutrition risk, supporting the development of targeted, personalised
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and/or Torres Strait Islander Descent (CATSID) process to confirm eligibility. You can contact the Oodgeroo Unit for more information via email information.oodgeroo@qut.edu.au How to apply To apply