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of the variability and uncertainty of simulated outputs • an explicit quantification of prediction error • an interpretable and controllable structure (e.g., Gaussian processes, …) 2. Model industrial system
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cellular dynamics. Analyze large-scale transcriptomic and spatial dynamics datasets. Work in close collaboration with the team's biologists to test predictions from statistical models. Within the Polarity
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modeling (Strasbourg) investing the role of sensorimotor beta bursts in predictive processing: align protocols, metadata, and analysis plans; contribute to cross‑species comparative work. * Advance and
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Infrastructure? No Offer Description The postdoctoral researcher will contribute to the ANR-funded Pi-CANTHERM project, which aims to design, model, and predict the performance of new n‑type organic thermoelectric
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possible sounding capabilities with current laser-produced sources, and (2) implementing experiments to test the predictions of these calculations and optimize the sources. The missions follow these lines
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and localization of a potential fault using the Matched Field Processing (MFP) method, based on the reconstruction of a response model of the inspected structure from the modal parameters predicted by
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, R. D., Lewis, S. L., Macgregor, C. J., Massimino, D., Maynard, D. S., Phillips, H. R. P., Rillo, M., Loreau, M., & Haegeman, B. (2025). Macroecological rules predict how biomass scales with species