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contribution of 17% superannuation applies. Full-time, fixed term position for 13 months. We are seeking a Postdoctoral Research Fellow (Level B) to join the School of Computer and Mathematical Sciences
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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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or knowledge of invertebrates within southern Australian agricultural systems Experience with molecular methods for species identification and/or population genetics. Knowledge of statistical analysis, data
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Institute for Machine Learning – the largest computer vision and machine learning research group in Australia – and contribute to world-leading research projects at the Centre for Augmented Reasoning
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prevention. The successful candidate will join the Wildlife Crime Research Hub and work as part of the ARC Industry Laureate Fellowship program, Combatting Wildlife Crime and Preventing Environmental Harm
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government and industries in South Australia, and overseeing Centre performance. The appointee will also be supported to establish and build a dynamic research program in machine learning or artificial
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to developing research protocols, preparing manuscripts, and analysing data using statistical methods, turning results into meaningful insights. You’ll also have the chance to present findings through reports and
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to manufacture advanced fertilisers. The project will include development of flowchem synthesis core-shell bio-mineral fertilisers methods. Fertilisers to be tested include leached regolith minerals. A
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actions working on causal AI for a changing world. The AIML at the University of Adelaide is the largest computer vision and machine learning research group in Australia with over 180 members including
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experience in machine learning research and development, particularly with a specialisation in such areas as: digital forensics, computer vision, biometrics (face or voice recognition, etc.) and natural