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excellence in relevant areas of high-energy astrophysics, in particular to ground-based gamma-ray astronomy detection, related data analysis methods and interpretation of results in the field. Demonstrated
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of APIs. Experience working in a digital marketing team and collaborating with IT and external partners. Experience with analysis and optimisation across marketing channels such as digital marketing (SEO
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and contribute their unique skills to provide leadership in our central team and across our network of facilities in methods of statistical analysis. This role will be pivotal in advancing our ability
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Higher Degree Research (HDRs) students with their research design and analysis. Your key responsibilities will be to: develop, coordinate and deliver introductory and advanced biostatistics workshops
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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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modelling tools for molten metal and salt bubbling catalytic reactors to improve carbon separation and reaction rates. To be based at University of Adelaide. University contact: Dr Zhiwei Sun (zhiwei.sun
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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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, 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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interpret data to help the University develop plans, monitor / review progress and achieve its goals. To be successful you will need: Demonstrated experience in analysis and reporting development
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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