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-first project is investigating the emotions and coping strategies of patients during an in vitro fertilisation (IVF) treatment cycle. We will use this information to develop a digital intervention to
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collaborate with senior researchers to design and implement impactful studies, analyse data, publish in leading journals, and support student supervision. You’ll also have opportunities to engage with industry
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. The successful candidate will develop computational tools for analysing gene expression (single cell, spatial) and metabolomic data in the context of cancer including melanoma and pancreatic cancer. You will lead
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innovative science and technology. Many of our iconic innovations were once considered impossible until someone, just like you, joined us and took on the challenge. Visit CSIRO.au for more information. The
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Australian National University | Canberra, Australian Capital Territory | Australia | about 22 hours ago
-class facilities. For further information please contact, Greg Yaxley, Professor Experimental Petrology T: +61 2 6125 8334, E: greg.yaxley@anu.edu.au, or Andrew Berry, Professor of Petrology T: 6125 0828
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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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Status: Closed Applications open: 20/09/2024 Applications close: 30/09/2024 View printable version [.pdf] About this scholarship Description/Applicant information PhD candidates at ACSPRI Member
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information. The opportunity CSIRO Early Research Career (CERC) Postdoctoral Fellowships provide opportunities to scientists and engineers who have completed their doctorate and have less than three years
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21 Aug 2025 Job Information Organisation/Company RMIT UNIVERSITY Research Field Biological sciences Physics Chemistry Researcher Profile Recognised Researcher (R2) Established Researcher (R3
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actions working on causal AI for a changing world. The AIML at the University of Adelaide is the largest computer vision and machine learning research group in Australia with over 180 members including