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managing research funding. To view the Position Description in full, please email talent@uq.edu.au This is a research focused position. Further information can be found by viewing UQ’s Criteria for Academic
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’ response does not automatically exclude a candidate from employment, and any information provided will be treated confidentially and considered only for relevance to the role and the University’s safety
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workflows, including troubleshooting, iterative method development, and data-informed protocol refinement. Strong analytical skills, with demonstrated ability to manage and interpret large eDNA datasets
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is an inclusive community in scientific collaboration. Mathematics and statistics drive breakthroughs in technology and data science, while physics and astronomy seek to understand matter and the
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of relevant training and experience proven Computer Literacy in (Excel, Clampex/Clampfit, GraphPad Prism) proven research publication in relevant field strong track record of peer-reviewed publications in
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-centred, data-driven solutions that shift trips from cars to active and sustainable modes of transport – improving health and safety, tackling climate change and bringing local streets to life. We work in
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numerical skills. Evidence of high-quality research outputs relative to career stage. Demonstrated capacity to conduct interdisciplinary research and integrate information from diverse ecological, social
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, universities, and organisations. Researchers at FHMRI are supported by experts in methodology, consumer engagement, and data analytics, with access to world-class facilities and a vibrant community of like
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individuals who 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
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to apply: Please submit your CV and covering letter outlining your suitability for this position by clicking on the ‘Apply’ link at the top of this page. For further information about this position, please