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and will be able and actively participate in group analysis work and laboratory activities. You will also have knowledge of and be competent in the MS Office Suite, image analysis software, and data
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maintain confidential information; ability to set priorities, manage time, and meet deadlines in a timely manner; experience in computer usage and Microsoft Office products; and excellent written and oral
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scientific collaboration. Mathematics and statistics drive breakthroughs in technology and data science, while physics and astronomy seek to understand matter and the Universe - everything from quarks
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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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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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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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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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-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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workflows, including troubleshooting, iterative method development, and data-informed protocol refinement. Strong analytical skills, with demonstrated ability to manage and interpret large eDNA datasets