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acknowledged at a national level as being influential in expanding the knowledge of your relevant discipline.As the Research Fellow, you are expected to plan, develop and engage in high quality research projects
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acknowledged at a national level as being influential in expanding the knowledge of your relevant discipline. As the Research Fellow, you are expected to plan, develop and engage in high quality research
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 2 months ago
working with Lean interactive theorem prover and automatic verification tools such as Verus and Veil to verify properties of Rust programs in a concurrent setting. The background of using ITP’s such as Lean
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national level as being influential in expanding the knowledge of your relevant discipline. As the Research Fellow, you are expected to plan, develop and engage in high quality research projects
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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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Indigenous Employment Flinders University is proud to be an organisation that is committed to our Reconciliation Action Plan and Indigenous Workforce Strategy. Our vision is to be a preferred employer for
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) Based at our Herston Campus . About This Opportunity Join a nationally significant program driving innovation in clinical trial methodology at one of Australia’s leading research institutions
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techniques Managing and maintaining a state-of-the-art ToF-SIMS facility Building and leading collaborative research programs Engaging with industry and external stakeholders to support translational research
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communities in Australia and water justice are essential. The candidate should demonstrate potential for curriculum and program development (especially in relation to water justice), high-quality teaching and
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ability to learn if necessary): One or more scientific programming languages, such as Python (preferred) or R, with a preference for functional style and algorithms experience. One or more deep learning