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. The successful candidate will join these two projects to help optimise them using the instrument simulations obtained. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR8617-VIRKAT-009
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performing atomistic simulations with Density Functional Theory and Molecular Dynamics. Data analysis and coarse graining in order to provide parametrisations for upper scale models (Kinetic Monte Carlo and
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heavily relies on empirical determination of key model parameters. By combining protein structure descriptors, molecular simulations, and machine learning, this PhD project seeks to predict ion-exchange
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experimental research on the nonlinear dynamics of ultrafast fiber lasers. Design and implement fiber laser cavities for the generation of ultrashort pulses. Develop and validate simulation models (e.g., using
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synaptic resilience and the reliability of synaptic responses. The work primarily involves mathematical modeling and numerical simulation, but also the analysis of experimental datasets for model validation
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available1Company/InstituteModèles et simulations pour l'Architecture et le PatrimoineCountryFranceCityMARSEILLE 09Geofield Contact City MARSEILLE 09 Website http://www.map.cnrs.fr STATUS: EXPIRED X (formerly Twitter
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National Aeronautics and Space Administration (NASA) | New York City, New York | United States | about 13 hours ago
absorption. Developing fast spectral radiance simulation techniques and implementing the observational system simulation experiment (OSSE) based on GISS climate model, which will be applied to research
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the area of neurophysiological modelling and measurement, particularly through EEG, PPG and EDA signals, of the mental and emotional states of a user driving Where to apply E-mail medmol@cert.uniroma1.it
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for reasoning over heterogeneous historical and social data (texts, maps, images, archaeological records), combining causal discovery, multimodal modelling, and agent-based simulation to produce open
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the Heat and Fire Lab (https://heatandfire.github.io/ ) in the Department of Engineering at King’s College London. About the role We are looking to appoint a full-time (1.0 FTE) Research Associate to work