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for Excellence in Antarctic Science (ACEAS) is one of Australia’s leading Antarctic and Southern Ocean research organisations. Based out of the University of Tasmania, and spanning seven universities across
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strengthen our reputation further is vital. About the opportunity Deliver and coordinate high-quality teaching in Secondary Science Education across undergraduate and postgraduate programs, including offshore
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computational modelling, physics, mathematics and/or scientific programming backgrounds, ideally with experience in Earth System modelling, Earth science or related disciplines. Ideal technical requirements
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Explore bold ideas with a team redefining addiction treatment through science The Opportunity Join a leading research team driving clinical innovation in neuroscience and psychedelics-based addiction
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Value $5,000 available for Duration of program (minimum) Residency No residency requirements Opens 02/07/2025 Closes 30/09/2025 For commencement Term 1 2026 Apply Now Register Already Registered? Login
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including engineering and physical sciences, environmental and sustainability studies, data and computational sciences, design and the built environment, economics and social sciences, and more. For
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Physics, Chemistry, Materials Science, or a closely related discipline. An emerging profile in research in computational condensed matter physics, materials science, or chemistry. Demonstrated expertise in
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of Engineering and Technology CQUniversity Mackay or Rockhampton (Relocation support available) Total Remuneration $93,819 to $124,135 pa (including salary of $79,279 to $104,896 plus 17% superannuation and leave
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at laboratory scale using small-area gas-diffusion electrodes (<5 cm²). Scaling up these systems introduces significant engineering challenges, including mass transport limitations, long-term catalyst durability
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interpretation and strain performance analysis. Automation and Computational Skills: Experience in implementing automation protocols for microbial strain engineering; Working knowledge of statistical analysis