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qualifications or research experience a record of publications, conference papers and/or reports sound analytical skills with an ability to communicate complex information familiarity in the use of R (or other
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studies. You bring strong quantitative skills, a solid publication record, and the ability to communicate research clearly to diverse audiences. You work effectively to project timelines and stakeholder
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. Experience using scientific and/or research methods, techniques, and protocols. Strong organisational skills, with the ability to coordinate multiple tasks and prioritise effectively. Analytical and problem
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, with the ability to work effectively in a collaborative, cross-cultural environment. Commitment to University policies, procedures, and legislative requirements Desirable Experience in systematic reviews
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guidance to lower-level academics and supervise postgraduate research students or projects carry out administrative tasks and contribute to faculty/school meetings currently living or ability to relocate
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Intelligence, Data Science, or a related discipline. Evidence of high-quality research outputs relevant to the role’s focus areas. Ability to work effectively as part of a multidisciplinary research team. Strong
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Accelerator: https://www.snowmedical.org.au/vision-accelerator The successful candidate will join the Sivyer Laboratory, led by Assoc. Prof. Benjamin Sivyer, which focuses on understanding physiological and
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+: Strengthening LGBTQ+ Community-Controlled Mental Health and AOD Services’ (https://www.latrobe.edu.au/arcshs/work/optimise-plus ). The Optimise+ project is a research study designed to build on the best parts
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-Controlled Mental Health and AOD Services’ (https://www.latrobe.edu.au/arcshs/work/optimise-plus ). The Optimise+ project is a research study designed to build on the best parts of LGBTQ+ community-controlled
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standards. You may be a great fit if You will have completed a PhD and possess expertise in mouse skeletal muscle physiology, molecular biology, and the ability to design and analyse experiments effectively