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has: a PhD in a related or relevant field to this project design and conduct experiments collect and analyse data, including with the use of machine learning develop mathematical models of excavation
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density) influence energy dissipation develop mathematical models to predict and explain these effects collect and analyse data, including with the use of machine learning use this knowledge to design
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density) influence energy dissipation develop mathematical models to predict and explain these effects collect and analyse data, including with the use of machine learning use this knowledge to design
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that support the transition of Australian farming systems to net zero emissions, enabling growers to adopt renewable energy and low-emission farming practices with confidence and impact About you PhD in plant
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that support the transition of Australian farming systems to net zero emissions, enabling growers to adopt renewable energy and low-emission farming practices with confidence and impact About you PhD in plant
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contributions to sea level rise with improved accuracy. You will have a passion for Antarctica and quantitative skills that include programming and machine-learning or numerical ice sheet modelling. As the
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/AI expertise) systems Engineering or Control Systems (with applications to large-scale projects) artificial Intelligence / Machine Learning (with interest in applications to megaprojects or governance
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celebrated. We are continuously working to identify and remove biases and barriers in an effort to make our workplace open, supportive and safe for everyone. To learn more about the School of Physics, click
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, DECRA and new ARC fellowship) This is an ARC funded postdoc position for developing upscaled single atom catalysts for water purification. To be successful you will need: Completion of PhD degree in
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successful you will need: Completion of PhD degree in the relevant discipline or have equivalent qualifications or research experience in Materials, Environmental and Chemical Engineering in recent five years