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the framework of the Physical-chemical Properties Prediction For Fusion & Fission Facilities (3P-3F) project funded by A*MIDEX. The main objective of the 3P-3F project is to characterize thermal and radiative
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nonlinearities, reinforcement learning for predictive control, and digital twins to bridge simulation and real-world deployment. The next step is on-sky demonstration, supported by access to telecom and astronomy
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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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of pathogen populations to antibiotic treatment across various time scales - compare the predictions of these models to epidemiological data available from public databases in various countries, particularly
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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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Université Grenoble Alpes, laboratoire TIMC, équipe GMCAO | Grenoble, Rhone Alpes | France | about 2 months ago
multi-expert segmentation databases. The postdoctoral fellow will focus on integrating segmentation variability into deep learning models, with the goal of assessing prediction reliability and enabling
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underground infrastructure (sensors, passive seismic methods, etc.) and surface impacts (e.g., satellite interferometry), (v) Predictive modeling of coupled processes (e.g., reactive transport, water-rock
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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