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help reduce uncertainties in climate forecasts and better assess the effects of aerosols on atmospheric systems. The postdoctoral researcher's mission will be to develop and improve the WRF-Chem model
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quantify intraspecific and interspecific interactions, taking into account environmental, spatial and temporal variation. TASKS: The work is based on data analysis and modelling approaches. An initial phase
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the scope of these missions, the candidate will be expected to: - Produce granular samples bonded by a solidified foam, using different types of binders and grains. - Implement 3D imaging techniques (X-ray
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activities are as follows: - investigation of plasma polymerization kinetics on model substrates; - identification of the different growth regimes; - chemical, physical, and mechanical characterization
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Proficiency with the gastruloid model Proficiency in English (B1 level) Ability to work in a team while respecting individual differences Experience supervising PhD students Scientific curiosity and motivation
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for studying and engineering electronic properties in quantum materials. By stacking different two-dimensional (2D) materials, it is possible to create systems with new and tunable properties. In
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have a solid understanding of the different types of superstring models and associated supergravity theories. Knowledge of mathematical concepts useful for the project (differential geometry, exceptional
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on the study of the various mechanisms involved in ZnO growth. One objective is to identify the key mechanisms, particularly those related to the different ion fluxes involved. A molecular dynamics approach
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(PTM/PCM)) and to implement it to produce a large-scale device. The main activities are aimed at: - Depositing GeTe films with different stoichiometries using DC magnetron sputtering - Investigating
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the simulation of turbulent flows using a tensor network representation of the Navier–Stokes equations. Unlike recent approaches based on tensor networks, which simulate fluid flows in physical space using finite