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Job Reference: 1168098 About the Role: You will play a key role in advancing distributed and adaptive AI methods, focusing on scalable software frameworks, learning algorithms, and orchestration
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the prediction of molecular crystal structures, their growth and their properties in close collaboration with fellow team members. Developing algorithms for efficient sampling of candidate crystal structures and
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validation of advanced algorithms for disease detection, contributing to Australia’s data-driven crop health monitoring systems. This work will support sustainable crop production and enhance national
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and time via their student email in late March / early April Shortlisted applicants must be available for the designated interview time Interviews will be scheduled between 25 March and 22 April 2026
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the development of new algorithms for processing, analysis and inversion of active and passive seismic data and the application of these algorithms to field data. Student type Future Students Faculties and centres
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training. Extension of the position may be possible but is not guaranteed. Your responsibilities will include: Oversee daily operations of the XRD laboratory, including instrument scheduling, sample analysis
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teaching schedules are confirmed. Your new role In this position, you will: Deliver engaging and innovative physiology teaching to undergraduate students, with a focus on large first-year interdisciplinary
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maintain run sheets, reports, schedules, and inventory records. Contribute to on-the-ground setup, bump in/out, and maintenance of activation assets. Monitor and maintain the presentation and functionality
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the position is to support the Dean and Directors of Learning & Teaching, Heads of School and Course Coordinators in the areas of curriculum review and management, accreditation, and scheduling and
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with project objectives and timelines. Monitor project activities against schedules, providing regular and accurate reports to stakeholders as needed. Resolve operational problems and facilitate