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Field
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background in hydrology, numerical/analytical modeling, programming, and data management/analytics is needed to support existing and forthcoming projects in the BEG hydro group. Purpose We are seeking highly
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(CFD) methods. The role focuses on transitioning legacy CFD solvers to modern, Python-based AI frameworks (e.g., PyTorch, JAX), targeting high-efficiency, scalable simulations of water-air systems with
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dynamics, sediment sources, carbon cycling, during past warm periods; provide geophysical constraints for i2B numerical modelling teams for example, palaeo-bathymetry, palaeo-ice dynamics and palaeo
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understanding, including changes in current patterns, glacial dynamics, sediment sources, carbon cycling, during past warm periods; provide geophysical constraints for i2B numerical modelling teams for example
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workshops, methods training, joint stakeholder sessions, and work-in-progress presentations. The Centre's ECRs will work as teams on specific projects. The role-holder will also collaborate with ECRs based
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workshops, methods training, joint stakeholder sessions, and work-in-progress presentations. The Centre's ECRs will work as teams on specific projects. The role-holder will also collaborate with ECRs based
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which you will be encouraged and supported to use your initiative and creativity to identify areas for research, develop research methods and extend your research portfolio. In particular, focus
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life course research. You will have the opportunity to use your initiative and creativity to identify areas for research, develop research methods and extend your research portfolio. The School
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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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disability and life course research. You will have the opportunity to use your initiative and creativity to identify areas for research, develop research methods and extend your research portfolio. The School