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, they will have prior knowledge of infectious disease modelling, Bayesian inference methods and optimisation methods. They will have a developing research profile, with a demonstrated ability to publish
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The Level A Research Fellow is responsible for advancing the University’s research objectives by contributing to a defined project in the field of applied econometrics. This position supports the development
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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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, utilise best practice research methodologies, and participate in project discussions. Actively participate with industry research partners to progress applied outcomes of fundamental research objectives
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and the School of Computing Technologies to advance research on bushfire evacuation and emergency planning and preparedness in hazard events. You will support the research aim and objectives of the ARC
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research with limited supervision. Demonstrated track record of publications and conference presentations relative to opportunity. Demonstrated ability to work in a team, collaborate across disciplines and
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and emerging research profile in biotechnology and biopolymers. You will work with Professor Steven Pratt and other CI’s on delivering against the research objectives of Research Program 1.3
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potential of high-speed rail (HSR) in shaping Australia’s urban future. As a Level A Research Fellow, you will undertake high-quality, independent research aligned with the project’s objectives, with a focus
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developments. Demonstrated ability to undertake high quality academic research and conduct independent research with limited supervision. Demonstrated track record of publications in high-impact journals and
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. Demonstrated track record of publications and conference presentations relative to opportunity. Evidence of highly developed interpersonal skills, ability to work in a team, collaborate across disciplines and