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have a PhD in Computer Science (or be able to demonstrate equivalent research experience in modelling and simulation, software engineering research) and possess a deep and demonstrable knowledge
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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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computer vision and machine learning research group in Australia -- and contribute to world-leading research projects at the CommBank Centre for Foundational AI This postdoctoral research position is part of
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Wildlife Crime Research Hub as part of the ARC Industry Laureate Fellowship program, Combatting Wildlife Crime and Preventing Environmental Harm at one of Australia’s leading research institutions
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specific methodology and tackle experimental challenges creatively. To be successful you will need: Strong computing skills in R software and demonstrated experience in quantitative analyses, and model