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through theory and simulation and/or experimental design and testing; developing new image reconstruction algorithms for providing more information with less radiation; and applying our techniques
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Australian National University | Canberra, Australian Capital Territory | Australia | about 19 hours ago
information governance professional, looking for a chance to lead a small, passionate, distributed team to deliver effective information governance and access functions to the University. Our ideal candidate
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, organisation and distribution of equipment, consumables and materials. You will possess: knowledge and application of OH&S and EH&S responsibilities in laboratory settings; ability to support academic staff with
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to make the world a better place. 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
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applications and standard operating procedures, and distributing relevant documentation to AEC members via the Forms for Research Applications (FoRA) system. Manage animal ethics monitoring systems, including
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) implement the COMPAS survey across two waves at St John Ambulance, (c) develop a predictive algorithm that can predict suicidal intentions and behaviours 12 months later, (c) use the algorithm to stratify
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contribution of 17% superannuation applies. Fixed term position for 24 Months. Postdoc opportunity - Open for Applications Until Filled We are seeking a dynamic and motivated Postdoctoral Fellow in Ecological
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print and online formats, creating and distributing communication materials, coordinating social media accounts, supporting internal and external event delivery and helping with the execution of external
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to the mission of universities – to develop and spread wisdom to make the world a better place. Harnessing technology, we thrive as a distributed yet connected community, welcoming and engaging with people across
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an opportunity for a Postdoctoral Fellow. You will contribute to UNSW’s research efforts in developing machine learning and deep learning algorithms for dynamic systems (sequential or time-series data). Experience