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School of Social Science Full-time, fixed-term position ending 30 November 2027 Base salary will be in the range $80,448.78 - $107,104.10 + 17% Superannuation (Academic Level A) Based at our St
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. This position is best suited for candidates with a strong background in computational material science. The role reports to Associate Professor Patrick Burr and has no direct reports. Salary (Level A) – AUD
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 2 months ago
Selection Criteria: PD&PEWER_Level B_Rio Tinto Postdoctoral Fellow.pdf Work collaboratively with Prof Christian Barry, RSSS Director on the Rio Tinto for Future Materials Contribute to a worldwide project
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You For Level A Applicants will have completed or be near completion of a PhD in quantitative genetics, animal breeding, computational biology, or a related field. Additionally, you will demonstrate
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% Superannuation (Academic Level A) Based at our St Lucia Campus About This Opportunity We are seeking a motivated Postdoctoral Research Fellow to join an innovative project focused on transforming methane emissions
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. Barron (Biological Sciences), Emer. Prof. Griffiths (Philosophy) and collaborators to develop a unifying framework between evolutionary transitions in individuality (ETIs) and major transitions in
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MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA | North Ryde, New South Wales | Australia | about 1 month ago
Sciences), Emer. Prof. Griffiths (Philosophy) and collaborators to develop a unifying framework between evolutionary transitions in individuality (ETIs) and major transitions in cognitive architecture (ETCs
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Centre for Horticultural Science Full-time, fixed-term position for up to 2 years Base salary will be in the range $80,448.78 - $107,104.10 + 17% Superannuation (Academic Level A) Based at our
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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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-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