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2019. Effective control methods are crucial to mitigate the health hazards associated with coal dust during mining activities. Currently, ventilation and water spraying are employed in underground coal
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surface water bodies. Climate change threatens to dramatically expand arid areas, whereby 30% of the earth could become at least semi-arid by 2100, severely impacting available water resources for more than
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architecture for real-time underwater acoustic communication: State-of-the-art deep learning is not practical to be embedded with limited resources in real-time, since deep learning is cumbersome and it involves
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Management who has: a PhD (or near completion) in a relevant field with a disciplinary background in water/natural resource management, project management, sustainability science, political science, data
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tackling the computational challenges associated with traditional methods. As research progresses, this approach will be key in optimising resource exploration, ensuring safe CO2 storage, and potentially
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communities and often occurs in the context of social interaction. Many social activities occur in aquatic environments. Alcohol use in and around water is a risk factor for injuries, including fatal and non
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activities, weather conditions, and PM2.5 concentrations using data from sensors and computational modelling. 4. Control Measures Development: Develop and test effective dust control measures, such as water
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partners and can tailor courses to suit industry trends or company needs. We offer supervision to PhD students and are proud that our alumni are now in senior roles in resource companies and government
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Apply now Job no:500000 Work type:Full time Location:Hobart Categories:Research Focused Research Associate in Ocean and Atmosphere Mesoscale Systems Opportunity to contribute and develop your
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stakeholders. The successful candidate will also demonstrate: Completion of a PhD in Water Resources Engineering, Groundwater, Civil Engineering, Environmental Engineering, Water Resources or an equivalent