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these data with multi-omics datasets to identify regulatory or metabolic bottlenecks. It involves statistical analysis and systems modelling, and close collaboration with strain engineering and bioprocess
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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
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computational and theoretical analysis using a range of techniques, as well as collaborating with the other members of the wider project team. To be successful in this position, you will have: PhD qualification
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intracellular signalling, including design of experiments, analysing data, writing manuscripts and reports, and supporting grant applications. This position will fit into a multidisciplinary environment with
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the other members of the wider project team. To be successful in this position, you will have: PhD qualification in the relevant discipline area, such as computational/theoretical physics or chemistry, or
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responsible for drafting data collection tools, coordinating feedback with study partners, co-facilitating the system mapping workshops, descriptive model development and testing with sector stakeholders. It
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information. The opportunity CSIRO Early Research Career (CERC) Postdoctoral Fellowships provide opportunities to scientists and engineers who have completed their doctorate and have less than three years
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complex analysis using both local and global datasets. applying nutritional geometry analysis apply advanced bioinformatics modelling techniques publish in peer-reviewed journals and present at conferences
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administrative functions, 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
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, stability/perturbation theory/rigorous numerics. Possible applications of the new theory include the analysis of spatiotemporal data arising from weather and climate observations/models and from models