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at the forefront of leading-edge research and development in the field of renewable technology as our economies transition away from fossil fuels. For more information, please see the following link: https
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 9 days ago
&PEWER_Level A.B_Postdoctoral.Research Fellow_Langford PDRA_MSI_2025.pdf About the Mathematical Science Institute (MSI) The Mathematical Sciences Institute (MSI) at the Australian National University (ANU) is a
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Develop and support Cube Analysis and Rendering Tool for Astronomy (CARTA) software within a global team to enable high-impact science using SKA data and infrastructure. Full-time appointment on a
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School of Chemical Engineering – Faculty of EAIT Full-time (100%), fixed-term position for up to 2 years Base salary will be in the range $114,824.05 - $136,048.72 + 17% Superannuation (Academic
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internal service roles and committees, perform administrative functions, provide support to colleagues, and uphold university values. This is a research focused position. Further information can be found by
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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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unique opportunity to contribute to cutting-edge medical technology development within a collaborative academic–clinical environment. Further information can be found at our website: monash.edu/medicine
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exciting Australian Research Council Discovery Project, “Resolving the value of information paradox for ecological management.” This is a unique opportunity to develop your expertise and grow your emerging
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- and the people who discover them The Opportunity An exciting opportunity exists for a Research Fellow to join the Department of Data Science and Artificial Intelligence within the Faculty
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(for Research Fellow) or equivalent experience in bioinformatics, computational biology, statistics, genetics or a related field Demonstrated experience in transcriptomic data analysis and relevant bioinformatic