5 ensemble-prediction Fellowship positions at The University of Queensland in Australia
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and data-poor settings. Key research areas include stress prediction, reservoir deformation, fault reactivation, and the interaction between injected fluids, and rock properties. This project offers
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project focused on developing a digital twin of a poultry breeding program. The project aims to investigate novel prediction technologies and alternative breeding program designs to create and prioritise
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. The role focuses on leveraging data from a variety of characterisation technologies to develop predictive insights into the metallurgical and geoenvironmental properties of orebodies. The Research Fellow
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studies. Manage technical assistance to sample and analysis field trials. Develop trait predictions for high throughput phenotyping analysis. Produces quality research outputs consistent with discipline
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for disease prevention and control. ODeSI has extensive experience in operational research and field surveys (including international projects), predictive risk mapping and modelling (spatial epidemiology