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astronomy. About the opportunity Lead quality assurance for the SKA-Mid Frequency Distribution System, ensuring compliance with international standards. Collaborate with multidisciplinary teams and global
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answering take a neural-symbolic approach and combine meta-learning and reinforcement learning techniques [1,2,3]. On the other hand, the generation of complex questions, the dual problem, is less explored
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employee benefits 2.75% pay increase effective 31 December 2025. ABOUT THE ROLE In this role, you will design, develop and distribute impactful multimedia content and communications materials for various
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presentations, and contributing to proposal development. Working collaboratively across a distributed research team, while progressing independent research activities under broad supervision. Pursuing
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algorithms and techniques and design, implement, test, and maintain software/tools embodying those methods. You will prepare and submit grant proposals to external funding bodies. This position will also
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responsibilities will be to: conduct high-quality research in intelligent sensing and control for complex project environments develop and implement AI-based algorithms (e.g., GNNs, deep reinforcement learning
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the powerful computing systems that enable them. You will architect, implement, and support the distributed AI platforms that form the foundation of MAVERIC’s mission, empowering researchers to push the
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++, Python, and ROS/ROS2 Demonstrated experience with robotic middleware, control algorithms, and system debugging Familiarity with Git, CI/CD workflows, and Linux-based software environments Excellent
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. Harnessing technology, we thrive as a distributed yet connected community, welcoming and engaging with people across Australia and the world. Learn more about the Faculty of Science and Health here . Learn
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collaboration with stakeholders and distributed teams across the portfolio, with opportunities for professional development and involvement in emerging platforms and initiatives.