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machine learning techniques for building efficient reduced-order models in the context of the numerical simulation of parameterized partial differential equations. The analysis of recent deep learning
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Student (f/m/d) in Quantum Algorithms for Droplet and Bubble Oscillation Dynamics Modelling. Your tasks Development and implementation of numerical and algorithmic methods for the simulation of fluid
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probes and in combination. More specifically, the project requires developing the SBI framework including simulations as forward models of observables, performing inference on synthetic datasets and
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or to optimise model parameters in large-eddy simulations. 3. Predicting extreme events, such as sudden bursts or high-drag episodes, using assimilated flow fields and physics-informed forecasting models. 4
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/Qualifications Previous experience in the analysis and simulation of stochastic processes and stochastic differential equation systems. Previous experience with population dynamics models in ecology. Additional
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, to create a responsible and innovative university to serve as a model for the 21st century. Within ICN, the ChemSenSim group (https://lab.chemsensim.fr/ ) develops interdisciplinary research projects
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atmospheric models WRF-Chem and/or CHIMERE, developing new descriptions of primary ice formation from sources such as aviation, wildfire emissions, and mineral dust. High-resolution simulations of selected case
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of the β-decay rate of isotopes immersed in an ECR plasma. The experiment consists of a numerical modelling of plasma, including electron and ion dynamics, and the consequent estimation of the lifetime
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. Objectives: Characterize the hydrodynamics of the gas phase in bioreactors at different scales (20Là15m3) CFD simulation of gas/liquid flow using the Eulerian approach (two-fluid model) Comparison between
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Associate position at Epwin Window Systems offers a chance to enhance simulation capabilities in uPVC compound blending operations. You will implement Discrete Element Method (DEM) simulations to optimise