79 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" research jobs at The University of Queensland
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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 all
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for the duration of this appointment to apply. Employer sponsored work rights are not available for this appointment. Questions? For more information about this opportunity, please contact A/Prof Sam
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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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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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that predicts how bioprocesses behave at different scales, and work closely with engineers and data scientists to integrate experimental outputs into computational models. This role is ideal for someone
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at participating mine sites, including collection and management of paired respirable and inhalable dust samples and real-time monitoring data. Liaise professionally with mine site personnel, contractors, and
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for this appointment. Questions? For more information about this opportunity, please contact David Muller at d.muller4@uq.edu.au . For application inquiries, please reach out to the Talent Acquisition team at talent
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coordination with the IDEA Bio team. Perform cultivation of microorganisms (yeast) using existing and refined the fermentation strategies. Deliver high-quality data to clients using fermentation workflows. Train
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partnerships with industry, government, and the wider community in alignment with UQ values. This is a research focused position. Further information can be found by viewing UQ’s Criteria for Academic
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Paper (Geoscience Characterisation (data acquisition, integration, and modelling), Rock Mass Conditioning technologies, Geo-risk Management and hazard modelling, Material Flow in Deep Cave Mines, Mining