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-renewable-energy-engineering Skills & Experience: A PhD in Computer Science or a related field. Thorough theoretical background in machine learning and deep learning. Demonstrated experience in developing
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at advancing kinetic Monte Carlo simulations of epitaxially grown nanoscale structures and develop kinetic Monte Carlo simulation software. Engage effectively with external partners. Document research findings
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available for passionate and early career Researcher to join our team within the College of Science and Engineering as a Postdoctoral Research Fellow, Geophysical Ore Body Modelling. Full-time; fixed-term
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research engagement. Who We're Looking For: Essential Criteria PhD (or equivalent experience) in Materials Science, Chemistry, Physics, Geosciences, Engineering, or a related field. Demonstrated expertise in
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and associated software. Support Curtin teaching programs through guest lectures, lab tours, and research engagement. Who We're Looking For: Essential Criteria PhD (or equivalent experience) in
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presentations. Contribute to grant applications for competitive funding opportunities. Who we are looking for (Selection Criteria): Essential: PhD (or near completion) in Geophysics or a related field or an
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/seminars and lectures, presentations at conferences, communication to non-technical audiences. Software engineering expertise, including implementation of Large Language Models methods (including execution