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Skip to Main Content Select Accessibility button in the banner region to Enable Screen Reader Mode and to review additional information. Press Control+M to start dragging object ptnbsid
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biology Experience in machine learning and artificial intelligence Experience with genetics and genomic data Experience with large, diverse datasets and data mining approaches Proficiency in Linux and
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artificial intelligence Experience with genetics and genomic data Experience with large, diverse datasets and data mining approaches Proficiency in Linux and computational programming Strong computational and
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framework to identify and prioritise components suitable for metal additive manufacturing. Applying AI, data analytics and machine learning to evaluate 2D and 3D design data. Collaborating with defence
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School of Mechanical and Mining Engineering - Faculty of EAIT Full-time, fixed-term position through to August 2027 Base salary will be in the range $82,057.75 - $109,246.18 + 17% Superannuation
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top-tier research team unlocking solutions to the scarcity of essential materials for next-generation energy and information technologies. You will use state-of-the-art computational tools based
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sector. Qualifications and/or experience in Chemical Engineering, Chemistry, Metallurgy, Mining or a related field or industry will be highly regarded. First Aid certification and/or a forklift license
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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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analyses, including BGC mining, comparative genomics, and genome assembly. Support and contribute to the safe and efficient operations of research group equipment, infrastructure, methodologies and protocols
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) data. The project informs climate and environmental relationships with human health in three regional biomes: the Amazon, island states/territories, and Central America. The primary responsibilities