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Job Reference:1483609 About the Role: You will be joining an exciting industry-funded research project with Draslovka Mining Process Solutions, supported through the Australian Government’s
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teaching-track faculty and 54 tenured and tenure-track faculty with wide-ranging research interests, and strong research groups in cybersecurity, systems and networks, machine learning and data mining
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in candidates with plans to develop a research program involving mining of large-scale data and/or cancer prevention (even if they have not explicitly worked on cancer prevention before). Candidate
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environments Experience with: structured design, development, and implementation of new computing architectures a variety of data sources (SAP, exposure to dashboards, OLAP and data mining tools, SQL, Oracle
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the State Climate Office, and Mining and Metallurgical Engineering. Mackay also includes two public service departments, the Nevada Bureau of Mines and Geology, and the Nevada Seismology Laboratory
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aim is to create a workforce that reflects the diversity of the community in which we live. For more information, please visit our Diversity and Inclusion page - https://staff.curtin.edu.au/discover
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14 Jan 2026 Job Information Organisation/Company IMT MINES ALES Research Field Engineering » Electronic engineering Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage
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worthiness of autonomous vehicles cyber risk management, advanced threat intelligence secure-by-design for IoT and policy governance of cybersecurity For more details, please view https://www.ntu.edu.sg/cysren
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analyzing enrollment and classroom scheduling data from SAS. 8. Participation in space data initiatives and decision support through data modeling, mining, and statistical analysis. Required Qualifications
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on scientific applications of AI (see https://www.anthropic.com/news/anthropic-partners-with-allen-institute-and-howard-hughes-medical-institute ). What you’ll do: Design and implement scalable, robust data