412 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"DFG-TRR" positions at The University of Queensland
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information about this opportunity, please click here for the complete appointment booklet About UQ As part of the UQ community, you will have the opportunity to work alongside the brightest minds, who have
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records and contribute to data scoring, entry and analysis to support research reporting. Provide clinical advice to inform service delivery improvements and research enhancements. Deliver clinical research
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machine learning, big-data analytics, and data-driven approaches to optimise composition–process–property relationships. Key responsibilities will include: Research: Conduct additive manufacturing research
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. Demonstrated clear and professional written and spoken communication skills, including the ability to advise research and animal facility staff, present information and written reports. Demonstrated decision
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continuous improvement in both service delivery and infrastructure outcomes. For more information about this opportunity, please view the complete appointment booklet . About UQ As part of the UQ community
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scientific community. Key responsibilities include, but are not limited to: Laboratory financial oversight and procurement coordination Experiment Setup and Monitoring Data Management and Documentation
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of information and the day-to-day administrative flow with the relevant senior or executive staff member/s office. Coordinate a broad range of committee and governance activities, including governance structures
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, evidence-based assessment and therapy, and adherence to GCP and ethical standards. Collect, manage, and analyse high-quality clinical and research data, including assessment scoring, data entry, reporting
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position. Further information can be found by viewing UQ’s Criteria for Academic Performance . For further information, please click here to view the position information booklet. About UQ As part of the UQ
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excellence in field-based hydrodynamics, water quality, groundwater, and meteorological monitoring, supported by significant specialist equipment and boat-based data collection. The School of Civil Engineering