14 condition-monitoring-machine-learning Fellowship positions at University of Adelaide in Australia
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applies. 2 Fixed-term position available for up to 24 months. Flexible work arrangements can be negotiated with the right candidate. Be part of the Australian Institute for Machine Learning -- the largest
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collaboration between industry, government, and academia. The Australian Institute for Machine Learning (AIML) at the University of Adelaide is the largest computer vision and machine learning research group in
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the direction of A/Prof Claudia Szabo in the School of Computer and Mathematical Sciences at the University of Adelaide. The project is a collaboration with Defence Science and Technology Group, within the Combat
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Australian ecosystems and ecosystem processes at different scales from targeted monitoring at the local level, through to surveillance monitoring at regional scales, through to continental scale observation
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leadership and professional learning strategies backed by our research, CNS supports this change by helping educators rethink their approach to teaching and curriculum, and empowering schools to lead their own
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-breaking research and innovative teaching. You can learn more about Adelaide University HERE and more information will be provided throughout the recruitment process. Enjoy an outstanding career
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to creating an accessible and future-focused educational powerhouse that fosters economic and social wellbeing through ground-breaking research and innovative teaching. You can learn more about Adelaide
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research and innovative teaching. You can learn more about Adelaide University HERE and more information will be provided throughout the recruitment process. Enjoy an outstanding career environment
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and future-focused educational powerhouse that fosters economic and social wellbeing through ground-breaking research and innovative teaching. You can learn more about Adelaide University HERE and
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, conservation and museum partners, and other national and international agencies. This diverse, supportive environment fosters cross-disciplinary learning, professional development, and meaningful contributions