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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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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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procedures and data analysis. Key Responsibilities Maintain lab equipment, stocks, safety protocols, and cleanliness Induct and support staff and students in lab safety and procedures Conduct and support
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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
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implement machine learning algorithms for complex data analysis. Utilise advanced programming skills (Python, MATLAB, C) and image processing libraries to develop computational solutions. Publish research