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complete-nutrition crops for on-demand bioresource production. We will test their performance in our physical twin environments and feedback to our machine learning modelling to advance plant growth
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, proprietary seismic sensors, cutting edge Ambient Noise Tomography, and machine learning to provide the world’s first scalable 3D exploration dataset with near-real-time insights to guide active exploration
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| 18 Month Fixed Term (with the potential for renewal) The Australian Institute for Machine Learning, located at the University of Adelaide, is at the forefront of artificial intelligence, machine
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development opportunities to its staff, including its own Women’s Professional Development Network to support women to navigate their career. To learn more about The School of Computer and Mathematical Sciences
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learn more about our exciting research in Pure Mathematics visit https://set.adelaide.edu.au/computer-and-mathematical-sciences/research/pure-mathematics To be successful at Level B you will need: PhD in
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physical attributes will support and improve the mapping of seagrasses. · Develop machine learning models and object-based image processing algorithms to differentiate and identify seagrass habitat
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Engineering Demonstrated knowledge and experience of the Quantitative and Qualitative Research Methods, Software Design Methods for Secure AI-Enabled Software, Applied Machine Learning, Natural
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-achieving postdoctoral researcher to join a world-leading research group in Computer Security and Machine Learning as well as Computer Science department ranked 48th in the world and The University
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Time | Continuing Opportunities The School of Computer and Mathematical Sciences is expanding its team and have 2 unique opportunities available for continuing Education Specialists at either Level B
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, Computer Vision, Machine Learning or related field, with strong experience in image processing or computer vision, particularly for multi-modal and high-dimensional data. Experience in programming languages