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in-house methods to develop null mutants in candidate genes via tissue culture and gene editing in Arabidopsis. The position will focus on pectin, and particularly on rhamnogalacturonan-II (RG-II
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metapopulation and/or individual based models Knowledge of Bayesian methods, including Approximate Bayesian Computation Experience with big data analysis and HPC environments Knowledge of additional programming
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AI technology and fostering foundational research into new machine learning methods while exploring real-world application in finance and other industries. For CommBank, this research could unlock
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to, and interpretation of, extreme material online. It will use in-depth qualitative methods to collect novel data and provide an evidence-base for points of intervention. It is part of an ONI Discovery