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Economics, Data Science. We will also consider candidates who are making progress towards PhD completion. A demonstrated track record in statistical analysis, especially meta-analysis and economic impact
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such as Applied Statistics, Mathematics, Geography, Plant Pathology, Agronomy and/or Data Science. We will also consider candidates who are making progress towards PhD completion. A demonstrated track
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expertise in physics, electrical engineering, computing, mathematics, and statistics to better understand and advance our data-driven world. As part of Curtin’s Faculty of Science and Engineering, EECMS is
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qualification in a relevant discipline (e.g. astronomy, astrophysics, physics, or computer science). Demonstrated relevant subject/discipline knowledge and knowledge and experience in relevant research techniques
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field (e.g. physics, chemical engineering) Demonstrated experience in developing computational methods and workflows for chemical problems and experience using simulation software Demonstrated subject
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role in delivering a program of research aligned with improving the lives and services for people living with young onset dementia. Working closely with Associate Professor Elissa Burton, you will
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and contribute to data collection activities using appropriate research methods and protocols. Undertake literature reviews and preliminary data analysis. Assist with preparing funding applications