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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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Job Reference: 1168083 About the Role: You will contribute to the design, development, and testing of intelligent and distributed software systems that enable advanced research in artificial
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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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documentation. Contribute to the operational effectiveness of the School ensuring Operations are undertaken in accordance with relevant legislation and University policy. Write, edit and distribute content
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utilising various instructional methods - such as online, distributed, and face-to-face activities - to enhance student learning. Educators are expected to collaborate on curriculum design, assess student
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and stakeholder engagements, and managing the diaries and commitments of senior staff, where required. Prepare, coordinate and distribute reports, briefing papers, minutes, agendas and other key
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utilising various instructional methods - such as online, distributed, and face-to-face activities - to enhance student learning. Educators are expected to collaborate on curriculum design, assess student
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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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coordination (e.g., disasters), remote and distributed workplaces (e.g., virtual organisations), and management of civil infrastructure and services (e.g., aviation). In C2 settings, teams of heterogeneously