74 data-"https:"-"https:"-"https:"-"https:" research jobs at The University of Queensland
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Data Science Collaborative Research Platform Full-time, fixed-term position for 18 months Base salary will be in the range $114,824 - $136,048 + 17% Superannuation (Academic Level B) Based at our
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, including ethics and reporting. Assist in data collection, analysis, and the preparation of reports and presentations. Provide administrative, financial, and communication support for project operations
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, sample preparation, and data handling to ensure consistency and high analytical quality. Conduct quality checks on MLA outputs, including mineral maps, particle classifications, and artefact identification
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developing advanced, data-driven models and tools to integrate renewable generators securely into Renewable Energy Zones (REZs). Our goal: a reliable, affordable, and resilient decarbonised power system
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cycle. Key responsibilities will include: Coordinate end-to-end research activities, including data collection, management and analysis. Manage study processes such as ethics applications, amendments and
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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 alongside the
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uphold university values. 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
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into cancer treatment resistance, knowledge of immunology (NK cell biology), and experience with animal models and organoid cultures. This is a research focused position. Further information can be found by
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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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opportunity for an early-career professional looking to advance their academic writing skills, and build experience in research administration and data management within a supportive and impactful clinical