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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 15 days ago
& PEWER Academic Level B Research Fellow (Computer Science) Engage with world-class computing infrastructure and work in partnership with the Australian government Develop sophisticated AI approaches
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Research Fellow - Environmental Informatics Hub Job No.: 680160 Location: Clayton campus Employment Type: Full-time Duration: 2 year fixed-term appointment (with the possibility of an additional 2
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9 Oct 2025 Job Information Organisation/Company UNIVERSITY OF SYDNEY Research Field Biological sciences Medical sciences Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1
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computational research broadly from fundamental physical sciences to environmental, glaciological and/or climate applications. Demonstrated expertise in computational techniques applied to scientific questions
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The Hannan Medal recognises outstanding contributions to research in any of the fields of statistical science, pure mathematics, applied mathematics and computational mathematics and is made in one of those
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Food and Beverage Accelerator Program : Based in the Australian Institute for Bioengineering and Nanotechnology (AIBN) 2 x Full-time (100%), fixed-term positions for up to 1.5 to 2 years Base salary
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or chemistry, or applied mathematics. Demonstrated evidence of computational modelling experience, including code development and data analysis. Ideally experience using one or more of the following: Molecular
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in the relevant discipline area, such as computational/theoretical physics or chemistry, or applied mathematics. Demonstrated evidence of computational modelling experience, including code development
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the other members of the wider project team. To be successful in this position, you will have: PhD qualification in the relevant discipline area, such as computational/theoretical physics or chemistry, or
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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