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components. The resulting data will be used to train a machine learning (ML) model, enabling automated and efficient beamline alignment. This technology has the potential to significantly enhance
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supports the success of Aboriginal and Torres Strait Islander students. Advance equity, cultural integrity, and community engagement to create culturally safe, supported learning environments grounded in
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accelerate the global shift to electric mobility. This PhD will build an AI-driven fleet-scheduling framework that learns from battery data in real time and optimises charging, operations and maintenance
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opportunities for collaborations with machine learning and bioinformatics researchers in Computing and Information Systems, biostatisticians in Population and Global Health, big data research in genomics in
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offers undergraduate programmes in Software Engineering, Computer Engineering, Computer Science, and Bioinformatics, as well as a number of combined degrees with other disciplines. Our research and
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experience with programming (e.g., Python), machine learning, or educational data is beneficial, it is not a strict requirement. The project provides ample opportunities to develop these skills over time. What
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completion) in computer science, electrical engineering, AI, machine learning, remote sensing, robotics, or a closely related discipline. Demonstrated expertise and research track record in deep learning and
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. Understanding of or curiosity about machine learning, AI, or cloud computing tools used in agricultural analytics. Interest or experience in working with industry, government, or multidisciplinary research teams
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& Mathematical Sciences discipline as an Associate Professor / Professor in Human Computer Interaction & User Experience (HCI/UX). You will provide outstanding leadership in research, curriculum development
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a motivated academic to join the Computing and Mathematical Sciences discipline as an Associate Lecturer/Lecturer in Human Computer Interaction and User Experience (HCI/UX). This position offers