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Inria, the French national research institute for the digital sciences | Saclay, le de France | France | 3 months ago
with uncertainty quantification. However, this type of approach has not yet been used on problems as complex as an industrial piece of equipment. This thesis will be devoted to the use and development
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, or machine learning. Experience developing and applying statistical models, predictive analytics, or simulation techniques. Experience with uncertainty quantification, probabilistic analysis
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models, network analysis, graph-based learning, uncertainty quantification, scientific machine learning, or interpretable AI. This position is full time, on-site at the Penn State University Park campus
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. The project will focus on automated distributional shift detection and monitoring, invariant and distributionally robust representation learning algorithms, and deployment-time calibration with uncertainty
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 2 months ago
against simulation outputs. Run targeted simulations to test specific mechanisms. Month 5 — Validation, uncertainty quantification, and extended simulations Validate models across wider parameter space
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the previous point 6, and additional specific requirements are: a) Consolidated experience based on scientific publications, in the characterization and quantification of functional compounds (polyphenols
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importance, model selection, trait prediction, and uncertainty quantification. Substantial professional development opportunities are available, including travel and speaking opportunities at international
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unified reasoning framework. • Knowledge-grounded inference: designing retrieval and reasoning pipelines that ground model output in interpretable, traceable knowledge paths. • Uncertainty
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for external validation, transportability, subgroup performance, fairness, uncertainty quantification, and clinical utility assessment. Developing containerized, tested, documented, and version-controlled
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Postdoc (f/m/d) Mechanical Characterization and Materials Assessment for Nuclear Applications / P...
approaches, provide a natural bridge between experiment and mechanistic understanding. Data-driven methods, for instance for inverse parameter identification or uncertainty quantification in fracture mechanics