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the rate of fire growth. State-of-the-art fire models designed for these simulations also require input parameters (material properties) that describe: the decomposition reaction mechanism of combustible
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and other complex fluids using molecular simulations. In order to make these simulations more computationally feasible, development of coarse-grained models and new Monte Carlo or molecular dynamics
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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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, 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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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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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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NIST only participates in the February and August reviews. There is a growing need for high-performance materials for various technological applications. To address this need, the NIST-JARVIS (https
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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