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Full time 3-year fixed term contract Level B Research Only La Trobe Bundoora campus location About the position La Trobe University’s School of Humanities and Social Sciences is strengthening its
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Analysis of Online Economies – Led by Prof Lexing Xie and Dr Yun Kuen Cheung, this research explores digital markets and social platforms using ML, game theory, and computational economics. We welcome
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The Level A Research Fellow will contribute to the research efforts of the Department of Electrical and Computer Systems Engineering, with a specific focus on advancing a cutting-edge research program in
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., Native PAGE, cryo-EM) to GPCR biology Supporting administrative, operational, and financial aspects of the research program Collaborating within multidisciplinary research teams Working under broad
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 1 day ago
Design, working in close collaboration with the School of Engineering, the Fenner School of Environment and Society, and the ANU Institute for Climate, Energy and Disaster Solutions. Funded by
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of innovative computational procedures and methodologies, addressing a national skills shortage and enabling timely progress on a high-impact research initiative in modern econometric modelling. The role provides
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Job no:516699 Work type:Fixed term - Full-time Campus:Adelaide Categories:Level A, Faculty of Sciences, Engineering and Technology Level A ($78,544 to $105,611) per annum plus an employer
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Therapy, Computer Science, Engineering, Mathematics, Science, Physics, etc). Emerging track record publishing in high quality journals (e.g., Medical Physics, IEEE, etc.). Experience presenting at high
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people who discover them The Opportunity The Department of Electrical and Computer Systems Engineering is seeking applications for a Level A Research Fellow to contribute to a high-impact research project
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an interdisciplinary, purpose-driven team. You have: A postgraduate qualification in Computer Science, Data Science or related field Extensive experience working with large-scale, high-frequency (waveform) data