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matrix could better resist to fire than the ordinary concretes [9,10], however no numerical simulation has been carried out to confirm. Description of the work: The PhD thesis includes two phases
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research will be the inclusion stochastic elements in the simulations with the goal of minimising manufacturing variability and defect generation, i.e. robust manufacturing. The outputs of the work will
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complementary and synergic methods at the intersection of Artificial intelligence, Machine learning, Numerical simulation, Formal verification. Such methods include, among the others: AI-guided simulation
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challenges which experimentalists must consider – computer simulations of molten salts are therefore a very valuable guide to efficient experimentation. Molten salts have been well-studied using classical
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Reference Number BAP-2025-702 Is the Job related to staff position within a Research Infrastructure? No Offer Description To reliably use simulation-generated predictions in science and engineering, one needs
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Your Job: This PhD project focuses on modelling and simulating future gas grids, exploring transformation pathways, and developing cross-sectoral simulation frameworks to support informed decision
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design recovery and stability strategies using large-scale simulation workflows. Build and expand realistic, continent-scale power system models (e.g., the European transmission grid). Implement and test
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, little is known about cross-talk mechanisms. In this project, the student will use multi-scale modeling, combining elementary reaction mechanisms with mesoscale and continuum-scale multiphysics simulations
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, Mechanical Engineering, Nanotechnology, or related fields, Experience in at least one: PV modules, optical/electrical characterization, modelling/simulation, thin-film/material processing Specific Requirements
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interactions, give rise to a complex macroscopic behavior. They are described by nonlinear systems, which pose many analytical challenges. Tasks: scientific research on the analysis and simulation of nonlinear