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to quality teaching at undergraduate and postgraduate levels. Desirable: Demonstrated technical knowledge of principles and applications of distributed fibre optic sensing technology. Experience in designing
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activities draw together academic, research and professional staff from a variety of science, engineering, and computing disciplines to tackle unique and demanding challenges in radio astronomy and beyond
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/physiological measures (e.g. expired gas energy expenditure and accelerometry), qualitative studies involving focus groups/interviews, or program development/intervention studies. Desirable: Demonstrated skills
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to Curtin's Healthy Lifestyle Program, with up to 2 hours per week of paid time off to engage in University-approved healthy lifestyle activities. Explore Curtin’s wellbeing locations at https://tinyurl.com
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internationally competitive and high-quality research in the relevant discipline/field, developing a coherent research program, participating as a co or chief investigator in applications for competitive funding
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Job Reference: 1044217 About the Role: Join a pioneering national research initiative at the intersection of geochemistry, data science, and critical minerals. As an AuScope EarthBank Fellow, you will play a key role in a project investigating the periodicity of critical mineral formation across...
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collecting and analysing interview and interactional data. This will enable the co-design, testing, and implementing of a new training program to improve how assessments are communicated with clients and
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competitive research program in surface science. Publish in high-impact journals and secure competitive research funding. Supervise Honours, Masters, and PhD students. Service & Facility Management Specialise
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-quality, competitive research and contribute to this research program. Demonstrate excellent project management skills. Demonstrate excellent communication skills, contribute to publications and
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for (Selection Criteria): Essential: A doctoral qualification in a relevant engineering, computing, or physical sciences discipline. Demonstrated research expertise in data analytics, machine learning, artificial