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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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, please contact Dani, v ia talentsupport@rmit.edu.au or visit our Careers page for more contact information - https://www.rmit.edu.au/careers . We are a Circle Back Initiative Employer – we commit
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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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Research Fellow in Temporal Analytics Job No.: 685774 Location: Clayton campus Employment Type: Full-time Duration: 5-year fixed-term appointment (until 5 October 2030) Remuneration: $118,974
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milestones. 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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analytical skills in modelling time trends and prevalence data biostatistics for clinical trials and cohort studies experience working with large, multi-wave datasets (e.g., ABS, AIHW, HILDA) reputation at a
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Part Time (0.4-0.6 FTE) 2-year fixed term opportunity for a Senior Research Fellow or Research Focused Academic in Mental Health Epidemiologist / Data Scientist amplify the impact of your research
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 7 days ago
: Computing Foundations, Computational Science, Intelligent Systems, Data Science and Analytics, and the Software Innovation Institute. Be part of an innovative and forward-looking intellectual agenda, built
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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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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