304 assistant-professor-computer-science-and-data-"St"-"St" Fellowship positions in Australia
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geotechnical engineering. Expertise in constitutive and numerical modelling as well as coding. Experience with Linux-based high performance computing facilities desirable. A demonstrable track record in
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via the Apply Now button and address the selection criteria in your submission in a separate document. For information to assist you with compiling statements to answer the selection criteria, please
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capability at the JdLC and the AuScope EarthBank platform. Impactful science: Help transform critical mineral exploration through advanced data science and infrastructure development. Professional development
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22 Aug 2025 Job Information Organisation/Company FLINDERS UNIVERSITY Research Field Sociology Ethics in health sciences Researcher Profile First Stage Researcher (R1) Country Australia Application
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sector. Qualifications and/or experience in Chemical Engineering, Chemistry, Metallurgy, Mining or a related field or industry will be highly regarded. First Aid certification and/or a forklift license
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Research Fellow in Ultrafast Science of Graphene Thermoradiative Devices Job No.: 684258 Location: Clayton campus Employment Type: Full-time Duration: 2-year fixed-term appointment Remuneration
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Quantitative Genetics, Statistical Genomics, Computational Biology, Plant Breeding, or a related field. Strong expertise in GWAS and post-GWAS analysis (e.g., fine mapping, gene network modelling, GWAS boosting
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Job Reference:1041374 Are you a hands-on science enthusiast with a flair for research, lab work, and data analysis? Join a world-class research team driving innovation in resource recovery and
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 19 days ago
of the sciences, supported by extensive international networks and by world-class facilities. For further information please contact, Greg Yaxley, Professor Experimental Petrology T: +61 2 6125 8334, E: greg.yaxley
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and international academic researchers, research assistant(s) and research students to develop a unified computational model of how humans use automated advice. Undertake independent and collaborative