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of hydrogen migration through isotopic, noble gas and micro thermometric analyses of hydrogen-bearing inclusions. Eligibility: Applicants may include Australian citizens, permanent residents of Australia and
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computer vision and machine learning research group in Australia -- and contribute to world-leading research projects at the CommBank Centre for Foundational AI This postdoctoral research position is part of
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experienced Postdoctoral Research Fellow B to undertake research in the field of physics-informed neural networks for magnetic sensing. This project combines the strengths of industry and academia to leverage
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% superannuation applies. 2-year Fixed term position, with possibility of extension. We are seeking a highly motivated and skilled Postdoctoral Research Associate to join an ARC-funded Discovery Project focused
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diploma of at least three years full-time or equivalent (teaching or other) plus a post-graduate qualification in Education or a related field, including a TESOL component. The path to Adelaide University
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biochemical analyses • Work collaboratively with postdoctoral researchers and computational modellers within INML to integrate experimental data with network modelling • Help with writing and preparation
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advice, student counselling and consultation, retention/engagement activities, and graduation completions. A key component of this role is to ensure the delivery of holistic student case management in line
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and have a strong fundamental component with cutting-edge materials computation and machine learning. These positions can offer you an exceptional opportunity to work closely with key research
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science and engineering for energy-related applications. The research will be interdisciplinary and have a strong fundamental component with cutting-edge materials synthesis and advanced analytical methods
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the Barossa Valley, beaches, sporting activities, benchmark schools and shopping facilities. This opportunity offers diversity in day-to-day work, where, in addition to a significant component of clinical work