448 data-"https:" "https:" "https:" "https:" "https:" "https:" "SciLifeLab" "IFM" "IFM" positions at The University of Queensland
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UQ Library Full-time, fixed-term position for up to 5 years Based at our St Lucia location About This Opportunity The University of Queensland Library equips the UQ community with the information
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-based systems, contributing to a highly collaborative, data-driven national network. In this senior specialist role, you will work alongside leading researchers to design and apply advanced proximal
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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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Academic may be considered in discussion with the preferred candidate. Teaching focused position. Further information can be found by viewing UQ’s Criteria for Academic Performance . Clinical academic
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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
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programs, seminars and workshops. The role includes supporting key operational and IT functions such as data management and facility management systems (e.g., PPMS, VDI and acquisition PCs). If you’re
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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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organisational readiness, alignment and adoption. Applying contemporary change practices to initiatives involving new processes, digital capabilities and evolving information practices. For more information about
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spectrometry, hyperspectral and multispectral calibration, and field data acquisition to improve agricultural monitoring from field trials to national predictions of yield, disease, and quality traits. You will