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the Bayesian framework to generate surrogate multiscale models for battery cells able to quantify uncertainties. The new modelling approach will be initially developed and experimentally validated for state
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, analysis, and model choice while retaining strong error guarantees. This means that researchers can adapt their research questions and sampling plans to the data as they come in and in a way that is as model
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) + Finite element methods for complex flows in porous media (generalized multiscale finite elements via autoencoders, adaptive in space and time, splitting methods, and variational flux recovery) + Adaptive r
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starting this position. If you are passionate about conducting cutting-edge research in the field of transformer-based models using physics priors to interpret multiscale, multirate and multimodal data, we