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applications for a unique postdoctoral position focused on the development of digital models of the human colon and surrounding organs to simulate their behaviour during colonoscopy procedures. The successful
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challenge. The INL laboratory has been working since 2021, on the modeling of the impact of chemical modification of surfaces on the adsorption of metabolites, from fluid samples, and their subsequent
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urban data, forestry data, temporal and multivariate network modelling, and simulation of infection dynamics in Swedish city environments. The doctoral student will work on the design and implementation
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opportunities to (i) better integrate model and observational data, (ii) represent key physical processes in a short-term forecasting context, and (iii) characterize the uncertainty of these simulators. Where
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transfer This research combines advanced numerical simulation and artificial intelligence to develop predictive models for high-temperature multiphase flows, with specific relevance to steel casting
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the development and refinement of Monte Carlo simulation generators to accurately model neutrino interactions with various target materials. Detailed comparisons of these simulations to data from existing neutrino
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the molten pool. However, these models are computationally intensive and impractical for widespread simulations of large-scale part deposition. This project aims to develop a novel FEA-based approach
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properties with three-body tight-binding model for the periodic table" https://journals.aps.org/prmaterials/abstract/10.1103/PhysRevMaterials.7.044603 2) "Magnon-phonon hybridization in 2D antiferromagnet
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intelligence models, and visual analytics tools that integrate urban data, forestry data, temporal and multivariate network modelling, and simulation of infection dynamics in Swedish city environments
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with an engineer to deploy controlled experiments and collect well-being dimensions. Activities - Formal modeling of well-being - Implementation of enriched student simulator - Development of multi