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-ground diversity. Employing an approach that integrates field-based research with advanced laboratory and statistical analyses. This project is part of the ARC Training Centre for Healing Country
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History, Engineering, Environmental Protection, Fine Arts, Genomics, Geophysics, Indigenous Affairs, Mathematics, Population Health, Public Policy, Statistics, Sustainability, Unmanned Aircraft Systems, and
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Eligibility criteria A strong track record in undergraduate studies; Honours or Masters by research A background in ecology, evolution, genetics, statistics, computing, or related discipline. Application
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Eligible courses Any applicable PhD courses Eligibility criteria A strong track record in undergraduate studies; Honours or Masters by research A background in ecology, evolution, statistics, or related
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undergraduate studies; Honours or Masters by research A background in ecology, evolution, statistics, or related discipline. Application process Please contact us via the EOI form . Upload a copy of your academic
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awarded 1 Eligible courses PhD in Economics Eligibility criteria The applicant must have completed a Bachelor degree with First Class Honours in economics, statistics or related disciplines, or be regarded
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courses All applicable HDR courses Eligibility criteria We are seeking a highly motivated candidate willing to learn new skills and undertake statistical analyses using a variety of datasets. People within
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statistics; experience working with complex data; comfort with scripting, Python; strong physics background. Application process If this project excites you, and your research skills and experience are a good
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costs, and promote intelligent open-pit mine construction using big data such as vehicle GPS positioning, vehicle speed change, and attitude, as well as deep learning, statistics, and other data analysis
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criteria Strong statistics; experience working with complex data; comfort with scripting, Python; strong physics background. Application process This project has identified a preferred candidate and is no