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many-body methods for multi-valence-electron atoms, with a focus on transition metals of interest for spin-crossover metal-organic frameworks (MOFs). The applicant will be involved in the development
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methods within in-house grid modelling platform to inform the design of Australia's carbon-neutral energy value chain, including emerging renewable fuels markets. The successful candidate will contribute
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postdoctoral researcher with: A PhD (or near completion) in Computer Science, Computational Biology, Mathematics, Bioinformatics, or a related discipline. Proven expertise in machine learning and algorithm
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energy transition. This role focuses on the development and application of advanced forecasting and scenario analysis methods within in-house grid modelling platform to inform the design of Australia’s
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Fellow will undertake research in applied LLMs, knowledge engineering and geospatial analytics and assist in the development of web application and software packages to translate the research outcomes. In
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, forums of public debate, organisation of public events, seminars, and conferences. About you PhD in social sciences or humanities, including political sciences, philosophy or anthropology expertise in
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guidance to junior team members, including undergraduate and PhD students foster a positive and inclusive workplace culture that values diversity of thought, collaboration, excellence, and outcome-driven
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Minimum qualification of a Master’s degree, with a PhD preferred, and demonstrated expertise in coral reef data analysis, field studies, and coral reef simulation modelling. Coding experience in Matlab or R
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the University’s research capacity in a globally relevant field. The role provides the opportunity to develop and publish a monograph based on Korean Studies-related PhD research or, if already published
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or nearly completed PhD graduate with experience in protein biochemistry to join the Herbicide and Antimicrobial Innovation Laboratory led by ARC Future Fellow Dr Tatiana Soares da Costa. Working