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of a specialized field, process, or discipline and may involve organizing and implementing complex research plans, the development of methods of research, testing and data collection, analysis and
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the Research Council of Norway. In this project, we will use advanced time-lapse imaging, numerical simulations, and reactive mixing theories to better understand and predict the role of fluid mixing as a driver
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governing models and fast numerical methods, implemented in our solver Flamenco. You will then apply the newly developed solvers to challenging fluid mechanics problems at the cutting edge of aerodynamics and
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processes as droplets/condensates wet membrane compartments in cells. Numerical simulations and theoretical membrane models will be developed, aiming to couple viscous interfacial fluid flow, elastic
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. • Solid knowledge of numerical methods, including optimization, linear algebra, and geometry processing. • Experienced on GPU programming, familiar with cuda thread scheduling, allocation, and
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reduction techniques and numerical methods for subsurface and surface flow processes. You will gain experience with forward hydrodynamic models developed in the Coastal Hydraulics Laboratory and contribute
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Australian National University | Canberra, Australian Capital Territory | Australia | about 2 months ago
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
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, Scotland, and Wales). Using innovative methods, the study will generate crucial knowledge about how supervision is experienced, practiced and governed, and the socio-political conditions that influence its
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that range in scale from atoms to continents and apply methods where fieldwork, numerical modelling, experiments and theory act in concert. The center includes the Oslo-branch of PoreLab, which is a Center of
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background and strong analytical skills in quantum physics and applied mathematics, including familiarity with exact and approximate methods to solve for and control the time-evolution of quantum many-body