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personal commitments, while optimising their work performance and contributions to the University. See how we lead in flexible work to enable an outcome focused and inclusive workplace. To learn more about
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Research Fellow - Embodied AI & models of human decision-making for robot learning Job No.: 661145 Location: Clayton campus Employment Type: Full-time Duration: 12-month fixed-term appointment
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system. In this position you will contribute to developing classical and quantum machine learning algorithms for molecular design software. Original research in related topics will also be supported. Your
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team, and be responsible for conducting cutting-edge research across various domains such as robot perception and learning, robot-world interaction and navigation in complex environments. To find out
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-learning pipelines to extract multi-molecular spatial patterns of protein expression and organisation in the human heart. The project connected to this position will generate large volumes of multi-channel
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commitments, while optimising their work performance and contributions to the University. See how we lead in flexible work to enable an outcome focused and inclusive workplace. To learn more about our culture
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candidate. Be part of the Australian Institute for Machine Learning – the largest computer vision and machine learning research group in Australia – and contribute to world-leading research projects
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(plus 17% superannuation) Reporting to the Executive Dean, Education Futures, you are responsible for the development of data-driven solutions that inform and lead to improve student learning outcomes and
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Research Assistant $70,528 - $76,985 + 17% Superannuation (pro rata, part time) Who are we? The Faculty of Health is dedicated to being at the forefront of teaching, learning, creating and social development
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arrangements can be negotiated with the right candidate. Be part of the Australian Institute for Machine Learning – the largest computer vision and machine learning research group in Australia – and contribute