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& solving the world’s problems Based at our University Mine - Indooroopilly About UQ As part of the UQ community, you will have the opportunity to work alongside the brightest minds, who have joined us from
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applications of artificial intelligence (AI) for data mining, processing, and modelling. To be considered as Research Assistant, you will have: Emerging track record and recognition for quality research outputs
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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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research centres and institutes including the Curtin Institute for Data Science, the Curtin Centre for Optimisation and Decision Science and the Curtin Institute for Radio Astronomy. These centres lead
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& solving the world’s problems Based at our University Mine - Indooroopilly About UQ As part of the UQ community, you will have the opportunity to work alongside the brightest minds, who have joined us from
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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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mathematical modelling, statistical modelling, and text mining as appropriate. Strong programming skills, preferably in languages (e.g. Python, MATLAB, or Julia). Experience with biological data analysis and
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Experience in plant genomics and mining of genomics data is desirable Experience in genomic analysis and bioinformatics tools is desirable About your application Full details of the position's responsibilities
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familiarity with statistical methods for biological data analysis Prior experience in plant-pathogen interactions or crop genetics research is desirable Experience in plant genomics and mining of genomics data