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program. You will play a key role in enhancing Australia’s sovereign capabilities in advanced alloy component manufacturing. UOW is committed to fostering your professional growth, providing an opportunity
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(PhD entry level $105,518 p.a.) Join a collaborative and cutting-edge research environment working with world-class researchers. Apply statistics, bioinformatics, and machine learning methods to analyse
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multicellular life emerged, a period during which many sedimentary-hosted critical metal deposits formed. AIM 2: Delineate the evolving bathymetry and topography of the planet over this time to constrain
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(PhD entry level $105,518 p.a.) Join a collaborative and cutting-edge research environment working with world-class researchers. Apply statistics, bioinformatics, and machine learning methods to analyse
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. The position requires high level skills and abilities in either quantitative or qualitative methods. Applicants with a quantitative focus will be required to undertake national longitudinal analyses of survey
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to elements of the RadInnovate research projects Engage effectively with industry and/or end users, including attracting industry funding for research projects Publish research in high quality ranked
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searches and reviews in support of the project Work with the project team to develop the project research design and methods Assist with preparation of interview schedules, data collection and analysis
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 1 month ago
! This position will support the Global Science and Technology Diplomacy Fund - Strategic Element (GSTDF-SE) for the solar thermal-plasmonic seawater splitting for hydrogen production project This role
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to contribute to novel encapsulation methods, optimize formulations, and characterize systems using advanced analytical techniques. You will collaborate with interdisciplinary teams to explore applications in
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. The Postdoctoral Fellow will be located in the Acton Campus in Canberra, Australia. The position is offered in connection with the ARC Discovery Project grant "Modern statistical methods for clustering community