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to carry out high-performance numerical simulations using our in-house CFD code, extract physical insights from simplified flow models, and characterise synchronisation thresholds and the robustness
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laboratory. The candidate will benefit from the expertise in numerical simulation and bioinformatics available at the L2C and the IBMM. The IBMM will produce the initial glycoproteins for calculations using
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utilisant l'approche Bayésienne classique. Il explorera également l'apport des méthodes d'apprentissage de type SBI (Simulation-Based Inference) pour l'inférence cosmologique
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. The candidate’s research should exploit phenotypic traits in response to environmental variables and management factors. We seek an individual who has achieved international recognition in simulation modeling
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deployment in Europe, carried out at the Louvain Institute of Data Analysis and Modeling in Economics and Statistics (LIDAM). The project focuses on the theoretical analysis and design of auction-based support
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of Quantum Chromodynamics in scenarios characterized by multiple energy scales. The expected results will help refine phenomenological models, improve Monte Carlo simulations, and contribute to a better
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- research experience in the evaluation of global wave reanalysis and integration of topographic and bathymetric datasets, as well as experience in the implementation of XBeach and SWaN models. Preferential
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. The approach will be predominantly numerical, based on CAD modeling, aerodynamic simulations and structural analysis. Parametric and sensitivity studies will be carried out to identify more robust and efficient
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programming such as Python, R, MATLAB, or other similar programs and experience in using simulation/optimisation models and advanced data handling techniques e.g. machine-learning techniques, statistics
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conducting simulator-based experiments, collecting and analyzing human performance and psychophysiological data, and developing models of human–machine collaboration for safe and efficient navigation