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Initiative, applying their expertise in field experimentation, weed science, and data analysis to generate impactful findings that inform best practices in agriculture. The position offers a unique opportunity
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Postdoctoral Research Fellow, you will play a key role in advancing genetic research in weeds and plants, applying molecular techniques and statistical analysis to understanding the evolution of weed populations
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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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research ability in the economic analysis of illicit markets, financial crime, trade economics, or related areas, as evidenced by a strong record of data analysis, modelling, and scholarly publication. A
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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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cell wall characterisation of a range of crops, including sorghum, sugar cane and rice. This will include monosaccharide quantification using HPAEC-PAD, structural analysis of polysaccharides using PACE
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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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characterisation of novel genes, improved methods for RG-II analysis, and a better understanding of cell wall assembly and function. To be successful you will need: A completed or nearly completed PhD in Plant