306 proof-checking-postdoc-computer-science-logic Fellowship research jobs in Australia
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Prof Christian Barry, RSSS Director on the Rio Tinto for Future Materials Contribute to a worldwide project Part-time position Position overview The Research School of Social Sciences invites
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with concrete real-world applications Engagement with Defence Science and Technology Opportunity to hone supervision skills. Position Overview The Robotics group at the ANU School of Computing is opening
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UQ Business School in the Faculty of Business, Economics and Law (BEL) Full-time (100%), fixed-term position through to July 2027 Base salary will be in the range $80,448.78 - $107,104.10 + 17
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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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science communities across the world through SKA Regional Centres (SRCs), which are nationally lead hubs that form the basis of a federated global compute and science support infrastructure. The Australian
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translation and commercialisation. Develop a coherent research program and apply best-practice methodologies. Supervision and Researcher Development: Support and supervise Honours and Higher Degree by Research
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, preferably gas fermentation. Key responsibilities will include: Research: Contribute to an established research program in gas fermentation, collaborate on research projects, seek and manage research funding
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 6 days ago
, including of heavy industry in Australia, working collaboratively with other researchers. Methods are broadly in the field of social sciences, including economics, market modelling and public policy analysis
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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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. Qualifications and requirements A PhD in Engineering or Computer Science with relevance to the outlined research area. A first degree in Engineering with research experience in creating digital twins or digital