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. Desirable Familiarity with cloud, virtual machines or distributed computing environments. Exposure to machine-learning frameworks (e.g., TensorFlow, PyTorch). Interest in developing scalable and secure
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(e.g., Docker, Kubernetes, cloud/edge environments). Demonstrated expertise in AI, distributed computing, machine learning, or systems software design. Strong background in software engineering
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, Machine Learning, Quantum Technologies, Energy Informatics, and Immersive Technologies. Our teaching programs are delivered across Curtin’s global campuses. The Physics and Astronomy discipline at Curtin
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. The Delivery Support Officer provides technical support for the Faculty of Health Sciences simulation activities, specifically around the set-up of clinical skills learning environments. Working across both
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evaluating the efficiency and accuracy of both physics-based models and machine learning techniques, leveraging high-performance computing resources. The role will involve collaboration with leading
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Intelligence, Machine Learning, Quantum Technologies, Energy Informatics, and Immersive Technologies. Our teaching programs are delivered across Curtin’s global campuses. Power and Renewable Energy Engineering
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-sensor hyperspectral data for crop disease detection and monitoring. Develop machine learning or physics-informed models to retrieve reliable spectral and/or biophysical features, from multi-scale
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largest schools, with a rapidly expanding teaching and research portfolio. The school is at the forefront of emerging fields, including Artificial Intelligence, Machine Learning, Quantum Technologies
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framework to identify and prioritise components suitable for metal additive manufacturing. Applying AI, data analytics and machine learning to evaluate 2D and 3D design data. Collaborating with defence
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Intelligence, Machine Learning, Quantum Technologies, Energy Informatics, and Immersive Technologies. Our teaching programs are delivered across Curtin’s five global campuses. Curtin is home to state-of-the-art