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Australian agriculture: Analytics for the Australian Grains Industry (AAGI) and the Australian Plant Phenomics Network (APPN). Hosted by UQ’s School of Agriculture and Food Sustainability in collaboration with
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significant centre for research in business, including Applied Finance, Actuarial Studies and Business Analytics, Accounting and Corporate Governance, Marketing, Management and Economics. We conduct world
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qualifications in related fields (e.g., neuroscience) experience in quantitative methods relevant to immune science experience in clinical research with strong data analytic skills with an interest in training in
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manage research datasets, including development of analytic workflows, REDCap data collection tools, algorithm development, and validation of NLP pipelines · lead the development of scholarly outputs
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projects. Candidates will need strong analytical skills and experience in manuscript preparation. Well-developed research skills, including data collection, management and analysis, along with the ability
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exposed to laser-accelerated intense proton beams. Primarily, the tasks are to be done by means of analytical calculations and high-performance computing simulations in a strong link with the industrial
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. You will develop sensitive methods with excellent quality control, be able to interpret high-resolution mass spectrometry data, conduct MS/MS experiments, and quantify or semi-quantify analytes in
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on research to overcome key challenges in the broadacre crop production industry. Within the CCDM, the Biometry and Agricultural Data Analytics team brings together biometricians, bioinformaticians, data
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the CCDM, the Biometry and Agricultural Data Analytics team brings together biometricians, bioinformaticians, data scientists and GIS experts to solve problems for the Australian broadacre agriculture
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uphold university values. These are research focused positions. Further information can be found by viewing UQ’s Criteria for Academic Performance . For further information or to request a full position