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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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and computational chemistry and this Hub will promote connectivity of the broader community, training, networking, as well as state-of-the-art research. This post will develop artificial intelligence
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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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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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field (e.g., Medical Physics, Radiation Therapy, Computer Science, Engineering, Mathematics, Science, Physics, etc). Emerging track record publishing in high quality journals (e.g., Medical Physics, IEEE
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Research Fellow will join the Brain Sciences research program. The Institute is committed to a culture that embraces equity and a diverse and inclusive community where everyone participates in a safe and
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School of Earth Sciences Join a transformative national initiative to modernise geochemical data infrastructure across the country, with opportunity for novel research in geochemistry Full-time
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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