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university procedures and security monitor exam supervisor sign on sheets and advise examinations office of issues set up of examination venues, including paperwork and computer equipment, receiving, and
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through the MyLab self-service portal, ensuring accurate data entry and timely processing of requisitions within University systems, including UniBuy/Ariba. You will work across a range of platforms such as
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which is housed in the Heat and Health Research Centre at The University of Sydney, Camperdown Campus. We are seeking a candidate to support the clinical trial process, from planning to execution
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Australian National University | Canberra, Australian Capital Territory | Australia | about 17 hours ago
research-intensive institution, the University values academics dedicated to solving problems through both applied and big-picture research. The Research Assurance Team, within Research and Innovation
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deliver data strategies that enable smarter decisions and ongoing improvement across UNSW’s Lifelong Learning unit. Blending big-picture thinking with hands-on analysis, this role shapes how data is
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to develop innovative solutions proven ability to influence stakeholders and to drive initiatives forward adaptability and confidence in working with new technologies and processes Sponsorship / work rights
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 11 hours ago
imaging and/or force microscopy would be desirable. The successful candidate will provide high-level support to laboratory operations, technical and research operations, and a collection of state-of-the-art
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responsibilities will be to: work closely with the lead investigator and project managers lead and optimise research projects, refining methodologies and ensuring goals are met coordinate grant reporting processes
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collection and analysis processes as relevant to the role Extensive stakeholder engagement (government and non-government organisations and consumer groups) Oversee training of staff and volunteers as relevant
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the area of end-to-end modular autonomous driving using computer vison and deep learning methods. This includes developing an efficient and interpretable image processing, vision-based perception and