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roles, committee involvement, and community or industry engagement. This is a research focused position. Further information can be found by viewing UQ’s Criteria for Academic Performance . About UQ As
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Full-time appointment on a fixed-term basis for two years. Base salary range: Level A, Step 8 ($108,362) p.a. plus 17% superannuation. PLEASE NOTE THAT APPLICATIONS FOR THESE POSITIONS NEED TO BE
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to create opportunities for placements. To be successful, you’ll have: PhD in a relevant discipline and/or other relevant qualifications and experience. Emerging reputation in research and scholarship through
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Full-time appointment on a fixed-term basis for two years. Base salary range: Level A, Step 8 ($108,362) p.a. plus 17% superannuation. PLEASE NOTE THAT APPLICATIONS FOR THESE POSITIONS NEED TO BE
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are looking for - Selection Criteria: Essential: A PhD in a relevant discipline such as Applied Statistics, Mathematics, Bioinformatics, and/or Computational Genetics, Data Science. A demonstrated track record
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Australian National University | Canberra, Australian Capital Territory | Australia | about 2 months ago
Classification: Academic Level A/B Salary package: $87,135 - $134,507 per annum plus 17% superannuation Terms: 3x Full time, Fixed term (up to 24 months) This position will provide opportunities
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the field of social sciences, including economics, market modelling and public policy analysis. For further information please contact Dr Jorrit Gosens, E: jorrit.gosens@anu.edu.au . ANU values diversity and
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. Our postgraduate courses offer professionals opportunities to develop their abilities and advance their careers and our PhD program has launched a thousand research careers. About the opportunity
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 2 days ago
Classification: Academic Level B Salary package: $118,632 - $134,507 per annum plus 17% superannuation Terms: Full time, Continuing (Contingent Funded) Position Description and Selection Criteria
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. The project, "Building the bridge from GWAS to Breeder through multi-omic network data fusion", focuses on transforming GWAS discoveries into actionable breeding insights. Using sorghum as a model, the work