285 phd-in-computational-mechanics-"Multiple"-"Prof" Fellowship positions in Australia
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Australian National University | Canberra, Australian Capital Territory | Australia | about 2 hours ago
to research as part of our academic team. Ideal Candidate The ideal candidate will hold a PhD in a field relevant to Investing in Women’s priorities and have a strong track record of independent research
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sustaining a distinguished and high-impact research program that is original, innovative and internationally recognised Achieving and sustaining national and international research excellence Providing
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high-impact research program Achieving and sustaining national and international research excellence Providing strategic research leadership Driving major research funding initiatives Building research
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to research training. Responsibilities will include: Leading an innovative and impactful research program Strengthening national profile and emerging global presence Pursuing and managing external research
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) Based at our St Lucia Campus About This Opportunity This position offers an exciting opportunity for a Postdoctoral Research Fellow to support a research program in collaboration with Queensland Treasury
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grows, you'll take on more responsibility and contribute more independently to the research program. We welcome applicants at either Level A (Research Assistant) or Level B (Research Fellow). To be
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. As your experience grows, you’ll take on more responsibility and contribute more independently to the research program. We welcome applicants at either Level A (Research Assistant) or Level B (Research
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and our PhD program has launched a thousand research careers. About the opportunity The Postdoctoral Research Fellow will support the research and engagement activities of the Australian Research
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Conduct research and develop a research program in experimental quantum turbulence and manipulation of quantum vortices to enable studies of 2D melting. Innovate and pursue the aims of the Discovery Project
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area of expertise. You may be a great fit if: You are a passionate researcher with a PhD in Computer Science or a related field, experienced in machine learning for spatial data management, with a track