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models can support energy-system modelling and optimization, including applications such as prediction, surrogate modelling, uncertainty quantification, and decision support. Coordinate the joint research
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optimization models. Investigate how tabular foundation models can support energy-system modelling and optimization, including applications such as prediction, surrogate modelling, uncertainty quantification
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validation, while establishing protocols for sensor calibration, spatial sampling, quality control and integration with Earth Observation data. Develop spatial, statistical and predictive models to investigate
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advanced statistical and computational analyses, including trial-level models, mixed-effects models, clustering or latent-profile analyses, dimensionality reduction, predictive modeling, cross-validation and
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candidate will work directly with experimentalists to develop rigorous theoretical and computational frameworks for interpreting experimental results and generating testable predictions. Second, they will
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of solid sorbents. Sorbent modelling and prediction of performance or ageing. Our offer We offer a stimulating, international, and collaborative research environment at a leading research institution with