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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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. Demonstrate best practice, innovative teaching methods which enhance the student experience. Undertake world-class research, resulting in research student completions, publications in high impact peer-reviewed
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professionally with people of all levels with cross-cultural sensitivity. Demonstrated competence in the use of computer applications and relevant digital technologies. Demonstrated ability to work effectively
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capabilities in agricultural disease management. Your responsibilities will include: Lead the development and application of novel methods/pipelines for processing and analysing satellite, airborne and proximal
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projects with an initial focus on the MWA data portal (asvo.mwatelescope.org). Capture and analyse bug reports, suggestions, and feature requests from users; estimate effort, plan and execute the appropriate