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. Through choreographed interactions with movement experts, this project expects to generate machine learning strategies to understand how people and robots can reliably and fluently move together. Expected
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of the public to professionally represent UTAS. This position requires relevant work-related experience in the Performing Arts industry and will provide administrative support to the learning and teaching program
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collaboration, and make a real impact on student learning and research excellence. The Technical Services team is known for its supportive culture, exceptional skills base, and strong partnerships across
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, and interpretation of environmental and/or ecological data. Research outputs such as technical reports and scientific papers in peer-reviewed journals. Computer skills including the use of Microsoft
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-art digital twin platform for green energy generation. This digital twin platform will integrate machine learning models and engineering-based simulations with real-time sensor data to optimise
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ability and proficiency in the effective use of computer applications and business systems. Proficient in the use of Finance systems and ability and willingness to learn. Demonstrated ability to work in a
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position will support the Cavitation Research Laboratory (CRL) team at the Centre for Maritime Engineering & Hydrodynamics (CMEH) in completing its research and learning objectives. The position is funded by
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. The successful candidate will play a key part in ensuring the smooth running of the farm while supporting the delivery of high-quality practical learning experiences and research outcomes. Key responsibilities
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This project is aimed at developing platforms to provide security in the post-quantum era. The project aims to incorporate quantum technologies, including quantum machine learning and quantum
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Position Details Continuing Position | Full-Time Higher Education Officer Level 9 | $130,786 - $144,266 p.a. + 17% Super Location: City Campus / Kaurna Country View Position Description Learn more