380 data-"https:" "https:" "https:" "https:" "https:" "https:" "SciLifeLab" research jobs in Australia
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. This is a research focused position. Further information can be found by viewing UQ’s Criteria for Academic Performance . About UQ As part of the UQ community, you will have the opportunity to work
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reneable ammonia synthesis. Waste Management and Valorisation. Proficiency in experiment design, performance and subsequent data analysis. Position description: PD [Research Fellow (Centre for Energy
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information can be found by viewing UQ’s Criteria for Academic Performance . This position will be offered at Academic Level B or C, commensurate with experience. For further detailed information on duties and
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, representing UQ in professional forums, and building strong stakeholder networks. This is a research focused position. Further information can be found by viewing UQ’s Criteria for Academic Performance . About
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professional bodies. These are a research focused positions. Further information can be found by viewing UQ’s Criteria for Academic Performance . About the Food and Beverage Accelerator Australia’s Food and
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to end users, including commercialisation of UQ intellectual property. Apply and promote best‑practice research methodologies. This is a research focused position. Further information can be found by
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genomics research. You’ll lead the creation of a comprehensive Sugarcane website, hosting key genetic and genomic data to support Australian breeders and researchers. This role offers hands-on experience in
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, including data analysis (e.g., interrupted time series, linked healthcare data, PBS datasets), survey design and implementation, and mixed‑methods approaches · experience conducting systematic reviews
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the opportunity We are seeking to appoint a Postdoctoral Research Associate in Mathematics and Statistics to work on a project entitled “Data-driven modelling of dynamical systems: A measure transport
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Scientia Professor, the Post-Doctoral Fellow will undertake advanced data management and statistical analysis of large, complex linked datasets, contribute to rigorous study design, and ensure high standards