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modelling, numerical development and the analysis of physical phenomena. In particular, they will be involved in designing models suited to the systems under study, their numerical implementation, and the
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use numerical models to interpret and predict mechanical behavior. - Carry out a cross-analysis of experimental, microstructural, and numerical results. - Disseminate scientific results (publications
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numerical simulations and analytical calculations, (iii) data analysis by programming, e.g. python and matlab, (iv) help and guide of Ph.D students in the team, (v) writing research reports, publishing
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model the candidate will perform a set of numerical models of an orogen testing the impact of the inherited extensional deformation on (i) the sediment routing systems and associated sediment volumes
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Principal Investigator of the OrDOTime project, and a collaborator on the project. Literature review, design of behavioural experiments, data collection, data analysis, writing scientific articles
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-Chem simulations for modeling aerosols and clouds in the Arctic region. - Analysis of the interactions between aerosols, clouds, and climate using data from the simulations. - Validation of the models
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experimental and/or numerical (finite element) mechanics - Keywords: Paper and fibrous materials, X-ray microtomography, in situ mechanical testing, Image analysis, Multi-Particle Finite Element Method (MPFEM
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electronic excitations—constitute a particularly well-suited and versatile system for exploring this physics. An optical excitation triggers Bose-Einstein condensation, and analysis of the light escaping from
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]. By combining simulations and experiments, comprehensive analysis of the process will be achieved and guidelines for optimization will be proposed. The analysis could then be extended to broader range
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of Euclid-DR1 data and, on the other hand, on an analysis of numerical simulations developed within the group. On the observational side, the focus will be on studying, in particular, the correlations between