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(Academic Level C) Based at our St Lucia Campus - Brisbane About This Opportunity This is a great opportunity for a Senior Research Fellow to lead and contribute to research programs in predictive breeding
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, plant, livestock, and atmosphere processes. In this role, you will support the development and delivery of predictions of wood products, carbon and water use for the Australian forest plantation sector
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Australian National University | Canberra, Australian Capital Territory | Australia | about 1 month ago
approaches to model uncertainty for learned computer vision systems, including dense prediction. The position will develop novel methods for deep learning in computer vision that accurately quantify their own
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forecasts of soil moisture and plant traits. Your work will be critical in delivering an early warning system for bushfire risk, enhancing the ability to predict and manage these natural disasters
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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
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capacity in nuclear and particle physics theory to produce a predictive model of direct detection of WIMPs. It will provide new theoretical guidance to experimental programs of the Centre. Close
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 3 months ago
of Excellence grant, in particular on a project to leverage Australian capacity in nuclear and particle physics theory to produce a predictive model of direct detection of WIMPs. It will provide new theoretical
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biology, bringing together mathematical, computational, and biological scientists to make biology predictive; establish mathematical whole cell models (WCMs) for in silico biology as a powerful complement
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initiative in mathematical biology, bringing together mathematical, computational, and biological scientists to make biology predictive; establish mathematical whole cell models (WCMs) for in silico biology as