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the expertise in repair and rehabilitation of structures with advanced materials, construction-grade waste materials and experience in experimentation and modelling of structures or structural elements. This all
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demonstrated proficiency in qualitative and/or multivariate quantitative research methods and analysis, have experience in supporting the management of a large research program, and have demonstrated an ability
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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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Chemistry or related Discipline or have equivalent qualifications or research experience. Demonstrated experience in analytical method development and operation of advanced analytical equipment (e.g. LCMS, GC
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Public Policy, providing cutting-edge research in areas such as econometrics, macroeconomics, data analysis, and quantitative methods. Our ideal candidate is comfortable in working independently with a
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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