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of aerospace components based on Digital Twin models. The goal is to create a virtual replica updated in real time using data from structural and environmental sensors, enabling continuous performance monitoring
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) experimental models. Our Group collaborates with colleagues based in two international consortia: CHARGE and ENIGMA. Our research takes place in both Barcelona, Spain and Montreal, Canada – with a dedicated team
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advanced multimodal generative models to downstream visual content editing and enhancement tasks. This involves designing mechanisms that enable these models to generalize across diverse input modalities
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this limitation in the use of satellite observations by make a direct use of radiance observations retrieved by satellites using machine learning without the need of radiative transfer calculations. The new model
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contribute to advanced analyses of air quality monitoring data, emission modelling and scenario studies related to livestock farming and environmental health. RDFV-II is a large public–private collaboration
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models and methods to collect, summarize, analyze, and interpret trends and patterns in complex data sets. Applies statistical theories to aid in the solution of research problems. Manages multiple large
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stochastic models with Hermite random perturbation and also with a significant practical part, related to the effective computation of the data and numerical simulation. Where to apply Website https
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stochastic models with Hermite random perturbation and also with a significant practical part, related to the effective computation of the data and numerical simulation. Where to apply Website https
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Development of advanced CFD models in OpenFOAM for the simulation of next
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Postdoctoral Research Associate in Transportation Systems Modeling & Urban Mobility Analytics Cornell University’s Center for Transportation, Environment, and Community Health (CTECH)—a U.S