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of heat transfer and turbulence physics in wall-bounded flows through numerical simulations, data-driven modelling, and machine learning techniques. Key goals include optimising convective heat transfer
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of an external magnetic field into the phase-field model and to simulate the microstructural evolution for different cooling rates. - Phase-field modeling of the phase transition in the Fe-Ni alloy. The selected
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silicon waveguides with a nanometric core. This work will include the development and optimization of simulation tools for the design of these waveguides, combining numerical results with simplified models
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-low levels of power consumption at temperatures as low as 4 K. The design of these circuits is complicated due to the lack of standard design kits for their simulation at these temperatures. Alternative
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researchers addressing complementary topics and methodology such as Thermodynamic modelling of multi-component planetary degassing/ingassing, Molecular Dynamic simulations of silicate melts, Petrology
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, extinctions, and environmental change; ● Running simulations and scenario analyses to explore how different discounting rules or time preferences shift optimal conservation choices; ● Fitting models
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large erosion pit during a breach, iii) a flood wave much more powerful than water in terms of transport capacity and destruction of buildings. Analysis of the state of practices does not show a model
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improve the parameterization of rheology integrated into current large-scale sea ice models, particularly those used for real-time forecasting and/or in the context of coupled climate simulations
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project based on a living model. Consequently, working hours will be adapted to the biological requirements and developmental stages of the model organism. The scientific environment at the Institute
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(MHD) simulations to model the large-scale flow and particle-in-cell (PIC) simulations to study particle kinetics on microscopic plasma scales. In addition, recent detections of electromagnetic flares in