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provide detailed information on local deformation mechanisms at the microscale, while numerical simulations and data-driven approaches will enable the development of predictive models capable of linking
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environmental geophysics. This PhD project aims to advance the process-based understanding of SSF by combining state-of-the-art geophysical methods with controlled field experiments and numerical modeling
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detailed information on local deformation mechanisms at the microscale, while numerical simulations and data-driven approaches will enable the development of predictive models capable of linking
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similar role / technical hands-on experience in battery fire model development. Proficiency in C, C++ and Fortran etc., programming languages, numeric and analytical skill. Good written and oral
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Modelling. You will work on applied and methodological research projects focussed on policies involving interventions affecting both health and work outcomes and the interactions between them. The research
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Palmas de Gran Canaria (ULPGC) is seeking a Doctoral Researcher (ICP1 level) to join the research project: “Optimal Design of Multipolar Stimulation Patterns in Cochlear Implants through Numerical
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porosity models can be improved further by improving the embedded subgrid closure models and numerical techniques. The proposing team is currently working on these aspects, but time is lacking for a
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. Description: The storage and movement of water around or planet is linked to numerous climatological, chemical and biological processes. I conduct research using satellite observations and numerical simulations
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numerical simulation environments have been developed to predict the snow performance of newly developed tire prototypes, challenges remain in comparing and validating advanced numerical models, e.g., using
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two main parts: • numerical modeling of crustal stresses associated with the various proposed mechanisms; • statistical analysis of the impact of these stresses on faults, potentially active or not, and