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-controlled analytical methods, and conduct targeted, suspect, and non-target analyses. This includes performing MS/MS experiments, interpreting high-resolution mass spectrometric data, and undertaking
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will hold demonstrated experience in epidemiological methodologies and data analytics. Your skills will include critical appraisal of epidemiological evidence, and statistical analysis to evaluate large
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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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. 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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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
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, compliance, and contribution to a collaborative and inclusive research culture aligned with UQ values. This is a research focused position. Further information can be found by viewing UQ’s Criteria
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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 alongside the brightest minds, who have joined us from
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Platform The Data Science Collaborative Research Platform provides essential expertise in bioinformatics, statistics, analytics, digital health, and applied AI. We empower Higher Degree by Research (HDR
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analytics More information can be found at https://smi.uq.edu.au/mishc About This Opportunity This is an exciting opportunity for a Professorial Research Fellow to work within the Minerals Industry Safety and
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to explore how biological information beyond DNA sequence influences crop performance across generations and environments. This is your chance to work with cutting-edge high-throughput DNA methylation