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-position-in-bayesian-dynami… Requirements Additional Information Website for additional job details https://www.academictransfer.com/360157/ Work Location(s) Number of offers available1Company
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and propagate uncertainty from image features to predicted PEMWE behavior. Bayesian experimental design and process optimization. The digital twin will form the basis for Bayesian optimization
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optimization-based updates (e.g., stochastic gradient methods and Bayesian learning), Probabilistic performance guarantees, leveraging tools from stochastic systems, RKHS-based learning, and Bayesian inference
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will combine digital twins based on established process designs and process engineering fundamentals with data-driven optimisation techniques, specifically Bayesian statistics and Bayesian optimisation
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“Bayesian Enhanced Tensor Factorization Embedding Structure (BETTER)”, and this PhD project specifically aims at developing a unified, scalable, and interpretable framework for tensor analysis. Specifically
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, i.e. interconnected ecosystems). Recent developments have indeed sought to establish the link between scales using Bayesian dynamic networks (Trifonova et al. 2025). This article proposes a strategy
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of the Loop: A Review of Bayesian Optimization, Proceedings of the IEEE, 104-1, 148-175, 2016. Where to apply E-mail pietro.congedo@inria.fr Website https://recrutement.inria.fr/public/classic/en/offres/2026
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Institut de Recherche pour le Développement (IRD) | Sete, Languedoc Roussillon | France | 4 days ago
to apply Website https://emploi-recrutement.ird.fr/offre-de-emploi/emploi-contrat-doctoral-en-ec… Requirements Research FieldEconomics » Economics of developmentEducation LevelMaster Degree or equivalent
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or more of the following: ecological modelling, dynamical systems, network analysis, Bayesian statistics or probabilistic modelling, mathematical biology, multivariate data analysis. Interest in connecting
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French National Research Institute for Agriculture, Food and Environment (INRAE) | Toulouse, Midi Pyrenees | France | 21 days ago
conferences. Supervision Dr Arthur Kocher (IHAP; MPI-EVA) is the PI of the EpidemioCene project . He studies human and animal disease ecology and evolution using molecular approaches combined with Bayesian