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. This position will be based within the Leeder Centre for Health Policy, Economics and Data, known for high quality health policy research, analysis, advice and education. We focus on improving public health
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data analysis and familiarity with HPLC/GC/LC‑MS Excellent communication skills and the ability to work both independently and collaboratively Experience with scale‑up/scale‑down approaches and an
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their affiliates submitted on or after 1st January 2024, with allowances for career interruption. strong track record relative to opportunity (thesis, publications, preprints, data/products, or equivalent research
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conduct data processing and secondary data analysis in collaboration with Chief and Associate Investigators. Produce high-quality research outputs, including peer-reviewed publications and conference
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citizenship behaviours that align to the UQ values. Collaborate in First Nations service activities external to the immediate organisation unit. This is a research focused position. Further information can be
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reproducibility This is a research focused position. Further information can be found by viewing UQ’s Criteria for Academic Performance . For a copy of the full Position Description please email talent@uq.edu.au
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and data-driven insight. Your work will span engineering design and testing, laboratory and field experimentation, trial coordination, advanced data analysis, and research administration. You will plan
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initiatives. Key responsibilities include contributing to ethics applications, conducting literature reviews, assisting with participant recruitment, engaging in qualitative and/or quantitative data collection
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information can be found by viewing UQ’s Criteria for Academic Performance . This position will be offered at Academic Level B or C, commensurate with experience. For further detailed information on duties and
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Macquarie University in Sydney, Australia. You will be working with A/Prof Benjamin Pope and A/Prof Christian Schwab on a full-time, fixed term period for 3 years. This role will develop and apply new data