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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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and have a strong fundamental component with cutting-edge materials computation and machine learning. These positions can offer you an exceptional opportunity to work closely with key research
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science and engineering for energy-related applications. The research will be interdisciplinary and have a strong fundamental component with cutting-edge materials synthesis and advanced analytical methods
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with demonstrated application to the surveillance or analysis of internet related crimes. Demonstrated experience in digital tool development, including relational databases, webscraping and webcrawling
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for its expertise in areas such as bio-sensing and cardiovascular analysis. Our Biomedical Engineering discipline is a highly cross-disciplinary branch of engineering and touches on areas such as data
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clinicians and community members, and contribute to the analysis, interpretation and reporting of study findings, as well as to the design of the intervention involving pharmacists and rural health staff. As
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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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, providing evidence-based analysis for determining force effectiveness. The applicant will work with other researchers and engineers in A/Prof Szabo’s team who share broad goals in modelling and simulation and
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the following skills and qualifications (tailored to the specific project): Driven individuals who want to be a part of a world class team Some familiarity in healthcare or engineering/image based analysis
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contexts. The Senior Capability Development Officer will be required to understand learning development needs, industry business requirements, the employee value proposition, conduct skills gaps analysis