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University Mine - Indooroopilly About This Opportunity This five-year Research Fellowship offers a unique and exciting opportunity to conduct applied research in the cross-disciplinary field of geometallurgy
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for interacting with colleagues and stakeholders. Department Specifics: Develop various machine learning and data mining models including convolutional neural networks (CNNs), Transformers, large language models
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to state that the mining, extraction and use of metals and mineral elements, such as rare earths, has been the cornerstone of development of civilisation. Recent demands to seek alternative energy pathways
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or related field; • Strong expertise in machine learning, deep learning, and data mining; • Experience with multimodal data analysis (e.g., eye-tracking, EEG, fNIRS) is highly desirable • Proficiency
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in net revenue as well as a variety of techniques, ranging from simple data aggregation via statistical analysis to complex data mining. Maintains a thorough understanding of patient billing and
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. Qualifications Must have bachelor’s in information systems, Data Science, Computer Science, Computer/Electrical Engineering, or related field covering data mining, statistical analysis, predictive analytics
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Must have bachelor’s in information systems, Data Science, Computer Science, Computer/ Electrical Engineering, or related field covering data mining, statistical analysis, predictive analytics, machine
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Status: Open Applications open: 1/05/2025 Applications close: 3/02/2026 View printable version [.pdf] About this scholarship Description/Applicant information The Alumni Scholarship (the Scholarship
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decarbonisation pathways for mining, heavy industry and liquid fuels. This is an opportunity to make a meaningful contribution the broader industry and resource sector decarbonisation pathways through rigorous
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research projects focused on generating, analyzing, visualizing, and mining real-world (e.g., EHRs) and experimental data that profile the molecular state of human cells and tissues using interactomics