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available at https://clinical-research.centre.uq.edu.au/odesi About This Opportunity We are seeking a highly motivated Research Fellow to bring their expertise in Data Science and Machine Learning (ML
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Computational Biology, Bioinformatics, or a closely related field. Demonstrated expertise in spatial transcriptomics, single-cell data analysis, and RNA biology, including experience with RNA isoform diversity
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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 | about 20 hours ago
of the sciences, supported by extensive international networks and by world-class facilities. For further information please contact, Greg Yaxley, Professor Experimental Petrology T: +61 2 6125 8334, E: greg.yaxley
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available for passionate early career Researcher to join our team within the College of Science and Engineering as a Postdoctoral Research Fellow. Full-time; fixed-term for one year Academic Level A $82,398
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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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sciences (e.g., anthropology, economics, demography, psychology, political science, sociology, etc.), the emerging field of computational social sciences/social data science, and applied disciplines aligned
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School of Biological Sciences Full-time appointment on a fixed term basis for 2 years. Base salary range: Level B, $118,150 – $139,812 p.a. plus 17% superannuation. About the area The School
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School of Biological Sciences Full-time appointment on a fixed term basis for 2 years. Base salary range: Level B, $118,150 – $139,812 p.a. plus 17% superannuation. About the area The School
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neurocritical care research The Opportunity We are seeking a Research Fellow - Data Science professional with strong expertise in machine learning, deep learning and high-frequency physiological signal analysis