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, such as synchrotron-based X-ray absorption data. The following would be deemed highly desirable. Experiences in working with mine wastes, such as tailings. Experience in field sampling and laboratory
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through automation and optimisation of equipment and information, creating safer, more efficient, and more robust processes for a sustainable future in the mining of raw minerals. Since our inception 160
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the mining industry through automation and optimisation of equipment and information, creating safer, more efficient, and more robust processes for a sustainable future in the mining of raw minerals. Since our
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the mining industry through automation and optimisation of equipment and information, creating safer, more efficient, and more robust processes for a sustainable future in the mining of raw minerals. We
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fellowships. Three of our professors are recognised among Australia's seven most highly cited researchers in mathematics, and QUT's Centre for Data Science is led by a Fellow of both the Australian Academy
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Tinto, the aim of the Centre for Mining Automation is to develop technologies to transform the mining industry through automation and optimisation of equipment and information, creating safer, more
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fellowships. Three of our professors are recognised among Australia's seven most highly cited researchers in mathematics, and QUT's Centre for Data Science is led by a Fellow of both the Australian Academy
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School of Mechanical and Mining Engineering, Faculty of EAIT Join a university ranked in the world’s top 50 Advanced transmission electron microscopy characterisation Full-time, Fixed term for up
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or educational data mining) Experience in analysing and reporting on student learning data Experience using cloud-based infrastructure (e.g., Microsoft Azure or AWS) and Python and R programming languages
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geoenvironmental characterisation of mining and mineral processing wastes and adding support to existing and new projects with external collaborating organisations. This is an exciting opportunity for a Postdoctoral