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- CNRS
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predictive modelling Public policy evaluation Management and analysis of survey data Software proficiency Statistical and econometric packages such as Stata, R, or Python GIS software (QGIS, ArcGIS
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, that could be employed to predict degradation in a machine operating under real-world conditions (electrical, thermal, mechanical stresses, humidity, pressure, etc.). • task 3: this task consists in
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well as investigating the role of non-local correlations in the quantitative prediction of satellites positions and pole strengths. The successful candidate will participate in numerical research and scientific code
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to the specification and analysis of data from major space missions (SMOS, Biomass, Venµs, Trishna) and develops models capable of describing and predicting the evolution of continental surfaces under various pressures
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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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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