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Job no:516725 Work type:Fixed term - Full-time Campus:Adelaide Categories:Level A, Faculty of Sciences, Engineering and Technology (Level A) $78,544 - $109,307 per annum plus an employer
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Programme COVID-19 Digital Grants Closing date: 14 December 2020 Closed Premier Award Ruby Payne-Scott Medal and Lecture for women in science The Ruby Payne-Scott Medal and Lecture recognises research
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Acknowledgment of Country Australia's Chief Scientist and the Office of the Chief Scientist recognise the first peoples of this nation and their ongoing cultural and spiritual connections to the lands, waters, seas, skies, and communities. We acknowledge First Nations peoples as the Traditional...
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their best work. THIS ROLE IS LOCATED IN SYDNEY, AUSTRALIA. The Coastal and Regional Oceanography group at UNSW is a dynamic team of researchers, including academics, postdocs, data scientists, technical staff
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the instructions for applicants on the ACSPRI Fellowship Program website. About the scholarship PhD candidates at ACSPRI Member Institutions are invited to apply for the 2024-25 ACSPRI Fellowship Program. Valued
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peer-reviewed literature An interest in global change ecology, macroecology, biogeography, or conservation biology Strong computational and analytical programming skills A good knowledge of advanced
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Job no:516915 Work type:Fixed term - Full-time Campus:Adelaide Categories:Level A, Faculty of Sciences, Engineering and Technology Level A ($102,024 to $109,307) per annum plus an employer
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29 Aug 2025 Job Information Organisation/Company UNIVERSITY OF ADELAIDE Research Field Computer science Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Country Australia
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candidate will join Associate Professor Jean Wen’s research group, conducting independent, high-impact research at the intersection of AI/machine learning, computational biology, and RNA biology. The position
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PhD in Computer Science, Engineering or other Machine Learning-related field. • Programming experience in python, C++ or other relevant language and experience in deep neural networks • Strong