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shelves and being able to predict when collapse might occur under different climate change scenarios. You will work with and potentially supervise two PhD students. You will join a diverse team of
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how control parameters (e.g. bucket speed, size, depth, and packing density) influence energy dissipation develop mathematical models to predict and explain these effects collect and analyse data
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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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include the development of integrated modelling approaches to better predict the effects of habitat modifications. This should provide significant benefits by allowing assessment of development and
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Postdoctoral Research Associate in Global Environment Modelling of Soil Organic and Inorganic Carbon
for global assessments. Research outputs are expected to improve the capacity to predict soil organic and inorganic matter dynamics across ecosystems and answer key question about abatement of GHG emissions