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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 2 months ago
to 32 weeks. We are one of the leading employers in Australia for parental leave entitlements, Designated parent rooms, quiet spaces and childcare facilities on campus, Career support, training, mentoring
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technologies that support decarbonisation and clean energy goals. The successful applicant will contribute to the computational modelling and design of Prussian blue analogues, spin-crossover metal-organic
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of Carbon Dioxide (GETCO₂). At our Computational Multiphysics Laboratory (CML), we value innovation, collaboration, and technical excellence. You will benefit from access to large-scale high performance
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of Mechanical and Mining Engineering, where innovation meets impact. As a key member of this dynamic team, you will develop cutting-edge computational models of two-phase flow in fractured media — ranging from
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opportunities to develop their abilities and advance their careers and our PhD program has launched a thousand research careers. About the opportunity Small-scale fisheries account for 40% of global fish catch
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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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of yourself or others. About the successful applicant (Selection Criteria) To be successful in this role you will have: A PhD in Chemistry, Chemical Engineering or Materials Science. Demonstrated prior research
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who holds the following: A PhD in a biomedical, health, or related discipline, supported by extensive professional experience across academic research, scientific writing, grant development, and
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Fellow. This role offers the chance to be at the forefront of innovation in chemical biology, with a focus on developing cutting-edge tools for molecular sensing and imaging. Under the guidance of Dr
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, you’ll have: Associate Research Fellow: Master’s degree in Biostatistics or Statistics; alternatively, a PhD in Epidemiology with strong quantitative component. Research Fellow: A PhD in Biostatistics or