52 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" Fellowship positions at The University of Queensland in Australia
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learning and mechanistic modelling, sensor network development, efficient data sorting and processing algorithms, real-time and model predictive control, and transformative applications in the wastewater
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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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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
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by the supervisor This is a research focused position. Further information can be found by viewing UQ’s Criteria for Academic Performance. About UQ Join UQ, a globally renowned institution fostering a
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, provide support to colleagues, and 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
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Knowledge Transfer. This is a research focused position. Further information can be found by viewing UQ’s Criteria for Academic Performance . About ARC-IFC The Australian Research Council Centre of Excellence
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climate resilience. Working within a world-class research environment, you’ll combine your skills in plant and crop physiology, modelling, phenotyping, data science, and statistics to uncover insights