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Australian National University | Canberra, Australian Capital Territory | Australia | about 17 hours ago
are mobilised and concentrated in the crust to form ore-bodies. The project will utilise the world leading experimental and analytical facilities at the Research School of Earth Sciences (ANU) and the Australian
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 4 days ago
analytical facilities at the Research School of Earth Sciences (ANU) and the Australian Synchrotron. The Person The appointee will have a demonstrated record of academic excellence in research, as measured by
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journals and participate in project discussions. Undertake the cultivation, isolation, taxonomic characterisation and cryopreservation of soil microbes (i.e. bacteria and fungi). Undertake the analytical
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. Working closely with the ABI program’s leadership team, you’ll contribute to data curation, protocol development, predictive modelling, and novel analytics for large-scale neurocritical care datasets. As
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modelling and data analytics, and help shape policy that improves lives. As a Research Fellow, you will: Conduct applied research in health economics, particularly focused on economic evaluation, cost
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engineering. About the opportunity Play a key role in advancing the AuScope Geochemistry platform ‘EarthBank’ at UWA. Contributing to new and existing analytical datasets and data models, improving
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engineering. About the opportunity Play a key role in advancing the AuScope Geochemistry platform ‘EarthBank’ at UWA. Contributing to new and existing analytical datasets and data models, improving
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withdrawal service settings. Responsibilities include managing trial operations, contributing to research design, conducting mixed methods data collection and analysis, preparing reports and publications
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Job Reference:1041374 Are you a hands-on science enthusiast with a flair for research, lab work, and data analysis? Join a world-class research team driving innovation in resource recovery and
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. Desirable: Proficiency in scientific programming (e.g. Python) and familiarity with data science and machine learning techniques. Experience with geochemical analytical techniques and working in a laboratory