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Job no:520746 Work type:Full Time Location:Crawley Categories:Engineering and Mathematical Sciences, Social Sciences Lead numerical modelling of carbonate sand for offshore foundations, support
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Lead numerical modelling of carbonate sand for offshore foundations, support research outcomes, and contribute to publications and student supervision. Full-time appointment on a fixed term basis
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imposed timelines/milestones. PhD (or near completion) in Engineering or Applied Science with strong expertise in CFD. Proficiency with open-source engineering software and numerical methods such as FEM
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completion of a PhD in geomechanics, energy engineering, geophysics, and/or geodynamics. An established record of scientific achievements in geomechanics and geomechanical numerical modelling, including
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 2 months ago
simulations to examine protein structure and function. This includes using advanced sampling methods and free energy calculations. The role involves publishing research in peer-reviewed journals, presenting
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independent research in molecular biology and biophysics, focusing on computational simulations to examine protein structure and function. This includes using advanced sampling methods and free
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-reviewed journal articles. The successful applicant will have two key attributes: Strong track record in Computational Fluid Dynamics and application of numerical modelling methods, and A track record in
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or data to inform research outcomes. Proven skills in study design and data collection methods, including development of in-person data collection tools (such as surveys and interview schedules) and
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collection methods, including development of in-person data collection tools (such as surveys and interview schedules) and familiarity with or experience in secondary data and its analysis. Demonstrated
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for earthquake and tsunami early warning. The role will be in the Geophysics Area of the Research School of Earth Sciences (RSES), and will undertake the numerical modelling of elasto-gravity signals generated by